Role Title: Investment Banking Associate

Role Type: Contractor

Location: Remote

micro1 is engaging Investment Banking Associates to contribute domain-specific expertise to a customer’s high-impact project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

• Evaluate and annotate complex financial materials, transaction documents, and case studies to enrich AI learning datasets.
• Draft, review, and edit project deliverables including pitchbooks, valuation models, and market analysis summaries for accuracy and clarity.
• Simulate and document real-world investment scenarios to improve model understanding of industry practices and deal processes.
• Provide detailed, written feedback on AI-generated financial content with a focus on precision, relevance, and professionalism.
• Curate and synthesize financial data to support scenario creation and decision-making exercises within the project scope.
• Identify and communicate nuanced industry concepts and terminology essential to authentic investment banking operations.
• Collaborate virtually with project coordinators to ensure deliverables align with project guidelines and client expectations.

Preferred Qualifications

• Current or recent experience as an Investment Banking Associate (any level) or Analyst (2nd year+), or equivalent role within Sales & Trading.
• Demonstrated expertise in financial modeling, valuation, and deal execution processes.
• Excellent written and verbal communication skills with an emphasis on clarity and detail.
• Proven ability to interpret and analyze financial statements, transaction documents, and market data.
• Strong attention to detail and ability to provide constructive, actionable feedback on complex materials.
• Ability to work independently and manage multiple deliverables within defined project milestones.
• Familiarity with industry-standard documentation, regulatory considerations, and deal structuring nuances.

We're looking for everyday users of Meta Muse or Instinct who have used the app for at least 2 weeks. Each week you'll keep using the assistant across different parts of your life (at least 3, e.g. work, health, errands, social), then log and rate the proactive messages it sends you. You'll also export your weekly conversations with personal details removed. This is an ongoing study with the same group of raters each week.

What We're Researching

We're hiring advanced chemistry professionals to contribute to an ongoing research initiative. This project requires deep subject matter expertise to evaluate, annotate, and analyze complex chemical data. The work directly supports the development of sophisticated scientific tools and methodologies.

How It Works

You will participate in a series of remote tasks that leverage your advanced chemistry knowledge. Activities include reviewing scientific texts, validating chemical structures, and answering domain-specific queries. You will interact with an asynchronous platform to submit your expert evaluations on your own schedule. This ongoing engagement allows you to provide crucial feedback across a variety of advanced chemistry modules.

Who This Is For

We are looking for individuals holding a master's degree or a PhD in chemistry or a closely related scientific discipline. We welcome analytical chemists, organic chemists, biochemists, and physical chemists with a strong academic or industrial background. Professionals with experience in academic research or applied laboratory work will find this engagement particularly relevant.

What You'll Do

• Review and validate complex chemical data and scientific texts
• Provide expert annotations and feedback on domain-specific queries
• Evaluate the accuracy of various chemistry modules and structures
• Submit detailed scientific evaluations through a remote platform

Who Should Apply

• Hold a master's degree or PhD in chemistry or a related field
• Strong foundational knowledge in advanced chemical concepts
• Comfortable working independently on complex scientific tasks
• Available for ongoing, remote expert contributions

Compensation

$70 per task

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .

What We're Researching

We are running a paid study on advanced chemistry concepts and their technical applications across different industries. Our goal is to gather high-level domain expertise from credentialed scientists to improve technical knowledge bases. This ongoing initiative relies on deep scientific understanding to evaluate complex chemical data and workflows.

How It Works

You will participate in remote, asynchronous tasks that test your technical knowledge and analytical reasoning. The work involves reviewing chemical data, answering detailed scientific questions, and providing written feedback on technical concepts. You may be asked to document your thought process or provide step-by-step explanations as you solve domain-specific problems. The format allows for ongoing, flexible contributions based on your specific area of scientific expertise.

Who This Is For

We are seeking highly qualified professionals who hold a master's degree or PhD in chemistry. We welcome organic chemists, analytical chemists, physical chemists, materials scientists, and researchers in related sub-disciplines. Ideal candidates have strong technical writing skills and a deep understanding of advanced scientific principles.

What You'll Do

• Review and evaluate advanced chemical concepts and complex data sets
• Answer highly technical questions related to your specific chemistry sub-discipline
• Provide detailed written analysis and scientific feedback on various technical tasks
• Walk us through your analytical thought process for solving domain-specific problems

Who Should Apply

• Hold a master's degree or PhD in chemistry or a closely related scientific field
• Current or past experience working in a highly technical research or laboratory role
• Strong ability to articulate complex chemical concepts clearly in writing
• Comfortable navigating specialized scientific literature and technical documentation

Compensation

$77 per task

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .

What We're Researching

We're hiring advanced chemistry experts to provide ongoing subject matter contributions for a long-term research initiative. This work feeds directly into complex scientific datasets that require graduate-level understanding of chemical principles. Your expertise will help ensure the accuracy and depth of technical scientific information.

How It Works

You will complete various asynchronous desktop tasks that evaluate and generate complex chemistry content. This involves reviewing scientific text, solving advanced chemical problems, and annotating technical data based on your domain knowledge. The tasks flow through an online platform where you can review materials and submit your expert evaluations. You will work independently to provide detailed, accurate responses to specialized prompts.

Who This Is For

We welcome candidates who hold either a Master's degree or a PhD in chemistry or a closely related discipline. This includes specialists in organic chemistry, inorganic chemistry, physical chemistry, biochemistry, and analytical chemistry. You should have a strong academic background and be comfortable tackling complex, graduate-level scientific problems.

What You'll Do

• Evaluate complex chemistry problems and provide detailed, scientifically accurate solutions
• Review technical scientific texts for accuracy and clarity
• Provide domain-specific annotations on specialized chemical datasets
• Navigate an asynchronous platform to complete varied expert tasks

Who Should Apply

• Hold a Master's degree or PhD in chemistry or a closely related field
• Strong grasp of advanced chemical principles and problem-solving
• Comfortable working independently on technical desktop tasks
• Excellent written communication skills for explaining complex scientific concepts

Compensation

$112 per task

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .

We are seeking experienced Customer Service Agents to take part in realistic, human-enacted customer service conversations for an AI data project. You will handle simulated support calls, resolve issues and communicate professionally, creating high-quality audio used to train speech-based AI. About 15 hours per week, roughly 170 openings. Remote, independent contractor. Hours are estimates and not guaranteed. Not open to residents of California, Colorado, Illinois, Montana, New York, Tennessee, Texas or Washington, or of China, South Korea, the EU, the UK, Iceland, Liechtenstein, Norway, Switzerland, Kenya, Indonesia, the Philippines or Bangladesh. Applying includes a 60-second on-camera script read. Approved applicants join an onboarding bootcamp before role placement.

Responsibilities

• Take part in realistic simulated customer service conversations
• Respond naturally to customer questions, concerns and requests
• Resolve issues following assigned scenarios and workflows
• Record clear audio on the designated platform
• Meet your agreed availability and flag schedule changes early

Requirements

• Previous customer service experience
• Strong communication, problem-solving and issue resolution skills
• Native-level English fluency with a clear U.S. accent
• A computer, reliable internet, a headset or USB microphone, and a quiet place to record
• Able to commit about 15 hours per week

Expertise

• Voice
• Customer service
• U.S. English

Benefits

• Fully remote, flexible hours
• Independent contractor
• Onboarding bootcamp provided

We are seeking native U.S. English speakers with authentic American accents to take part in simulated customer service conversations for an AI data project. As a Customer Caller, you will join semi-scripted calls with a Customer Service Agent on an online recording platform: asking questions, making requests and following an assigned caller profile, sometimes with a set emotion. About 10 hours per week, roughly 250 openings. Remote, independent contractor. Hours are estimates and not guaranteed. Not open to residents of California, Colorado, Illinois, Montana, New York, Tennessee, Texas or Washington, or of China, South Korea, the EU, the UK, Iceland, Liechtenstein, Norway, Switzerland, Kenya, Indonesia, the Philippines or Bangladesh. Applying includes a 60-second on-camera script read. Approved applicants join an onboarding bootcamp before role placement.

Responsibilities

• Take part in simulated customer service calls with assigned agents
• Follow semi-scripted scenarios and stay consistent with your caller profile
• Ask questions, make requests and share information as directed
• Record on the designated platform using the required audio settings
• Adjust tone and emotional delivery when a scenario asks for it

Requirements

• Native U.S. English speaker with an authentic American accent
• Excellent spoken English and natural conversational fluency
• Able to follow detailed instructions and stay consistent with an assigned profile
• Comfortable being recorded and with occasional light acting or emotion-based delivery
• A computer, reliable internet, a headset or USB microphone, and a quiet place to record
• Reliable and able to meet the agreed schedule

Expertise

• Voice
• Customer service
• U.S. English

Benefits

• Fully remote, flexible hours
• Independent contractor
• Onboarding bootcamp provided

Role Title:US-Licensed Physician

Role Type: Contractor

Location: United States, Remote

micro1 is engaging with Internal Medical Specialists to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your adult inpatient clinical training to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

• Review medical records, including FHIR data and clinical notes, for AI training.
• Check whether clinical information and claims are supported by the medical record.
• Review inpatient adult medicine documentation, including HPI, PMH, medication reconciliation, social history, assessments, and plans.
• Follow clear guidelines and apply the same standards consistently.
• Identify missing, incorrect, or inconsistent information in medical records, including renal- and hepatic-adjusted dosing, medication interactions, and age-appropriate clinical details.
• Share feedback to help improve AI models and data quality.

Preferred Qualifications

• At least 5 years of hospitalist experience.
• MD or DO, board certified in Internal Medicine (or Internal Medicine with a Hospital Medicine focused practice designation).
• Current or recent inpatient hospitalist experience (within the last 2 years).
• Strong understanding of inpatient documentation and hospital workflows, including admission, daily progress notes, transitions of care, and discharge.
• Comfortable reviewing clinical notes and raw medical record data.
• Strong attention to detail and ability to follow clear guidelines consistently.
• Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.

Mechanical Engineering Expert (MSc. or PhD)

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you choose the hours and days you work, including weekends if desired

We are looking for a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python.

The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints.

What You’ll Work On

• Solve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D.
• Translate physical systems and engineering requirements into analytical or computational models.
• Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.

Required Qualifications

• An MS or PhD in Mechanical Engineering or a closely related engineering discipline; or
• Strong understanding of applied mechanics and mechanical-engineering fundamentals.
• Experience developing analytical, computational, or simulation-based engineering solutions.
• Practical proficiency with coding agents.

Process

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Role Title: PhysioNet Competitor (Biomedical Signal Processing & ML)

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible-you choose the hours and days you work, including weekends if desired

micro1 is engaging specialists with experience in the PhysioNet Challenge or comparable biomedical signal processing and machine learning competitions. In this role, you will apply your scientific programming, signal processing, and modeling expertise to create, solve, and evaluate advanced technical problems that help improve next-generation AI systems.

We are looking for people who have worked directly with physiological signals and can turn noisy, real-world data into a rigorous and reproducible analysis. Strong candidates will be able to explain the methods they developed, the experiments they ran, the technical decisions they personally owned, and how they validated their results. No prior experience working on AI training projects is required.

Scope of Work

• Create technically rigorous, self-contained problems involving biomedical signals, time-series data, signal processing, and machine learning.
• Develop clear reference solutions using Python, MATLAB, or another appropriate scientific computing environment.
• Work with tasks involving signal preprocessing, filtering, segmentation, feature extraction, representation learning, classification, or forecasting.

Preferred Qualifications

• Participation in a PhysioNet/Computing in Cardiology Challenge or a comparable biomedical signal processing or scientific machine learning competition.
• Strong competition results and evidence of a substantive personal technical contribution.
• Public evidence of your work through an official team result, conference paper, technical report, open-source repository, or meaningful code contribution.
• Hands-on experience with physiological signals such as ECG, EEG, PPG, EMG, respiratory signals, polysomnography, or other clinical time-series data.

Process

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Location:India, Japan or United Kingdom, Remote

micro1 is engaging expert AI Product Evaluators to contribute directly to a customer's high-impact AI project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. This operationally intensive engagement involves handling AI model and agent evaluations, often within strict timeframes and usage limit resets. The project benefits greatly from contributions of multiple specialists, each bringing a meticulous approach to instruction-following and quality assurance.

Scope of Work

• Evaluate AI models and agents according to detailed, pre-defined scenarios and guidelines.
• Execute a series of operational tasks designed to test model accuracy, reasoning, and responsiveness.
• Document findings, observations, and any anomalies in structured written reports.
• Reset usage limits and repeat evaluations as required by project protocols.
• Record findings and submit evaluation datasets on AI training platforms in line with project standards and milestones.
• Maintain a high standard of attention to detail and rigor across all evaluation tasks.

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Preferred Qualifications

• Experience with AI products, AI models, or AI agent evaluation and testing.
• Demonstrated ability to follow complex instructions with precision and consistency.
• Exceptional attention to detail and operational thoroughness.
• Someone who already uses AI in daily life.
• Comfort working with repetitive or high-volume operational tasks within strict timeframes.
• Prior participation in digital product, software QA, or AI research projects is a plus.
• Detail-oriented, great at following instructions and documenting each step.

STEM Expert

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you choose the hours and days you work, including weekends if desired

We are looking for highly skilled STEM and scientific-domain experts to contribute to an AI training project involving technical problem-solving, scientific reasoning, data analysis, and Python.

The work involves solving, reviewing, and validating challenging problems within your area of expertise. A representative task may require analyzing a scientific or mathematical problem, developing a rigorous solution, using Python to perform calculations or simulations, and evaluating whether an AI-generated answer is technically correct.

This is a very coding heavy role. Candidates but have experience using coding agents in their workflow.

Candidates are not expected to be experts across every STEM discipline. We are looking for deep expertise in at least one of the following areas:

• Chemistry
• Biology
• Mathematics
• Physics
• Earth Science / Geoscience / Environmental Science
• Robotics

Adjacent scientific or quantitative disciplines may also be considered where the candidate's expertise is directly relevant.

What You’ll Work On

• Solve complex scientific, mathematical, or technical problems within your domain of expertise.
• Review AI-generated solutions for factual, mathematical, and scientific correctness.
• Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.

Required Qualifications

• Strong expertise in at least one relevant STEM or scientific domain .
• Practical proficiency with Python or other coding languages .
• Strong scientific, mathematical, or quantitative problem-solving ability.

Relevant Python tools may include NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries. No particular Python library is mandatory.

Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated experience. A specific degree or number of years of experience is not strictly required if you can demonstrate strong expertise in your field.

Process

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Senior ML Engineer (MSc. or PhD)

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you choose the hours and days you work, including weekends if desired

We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.

The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.

What You’ll Work On

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Required Qualifications

• A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.

Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.

Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.

Process

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Hardware Expert (MSc. or PhD)

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you choose the hours and days you work, including weekends if desired

micro1 is engaging experienced Hardware Engineers to contribute to AI training projects built around complex, real-world engineering problems. In this role, you will use your technical expertise to create, solve, and evaluate engineering challenges that require sound judgment, quantitative reasoning, and reproducible answers.

We are looking for engineers who have personally owned meaningful technical work - such as taking a hardware system into production, validating a model against test data, developing a rigorous verification approach, or diagnosing a difficult failure. We value engineers who can connect first-principles reasoning with practical constraints and produce work that can be independently verified.

Scope of Work

• Create technically rigorous, self-contained hardware engineering problems based on realistic industry or research scenarios.
• Develop clear reference solutions using engineering calculations, simulations, scripts, experimental reasoning, or other appropriate methods.
• Use tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms, or equivalent engineering software to validate results when relevant.

Preferred Qualifications

• Bachelor’s, Master’s, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related field.
• Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
• Demonstrated ownership of a substantial engineering problem - for example, a product or subsystem that reached production, a model validated against physical testing, a test system you developed, or a difficult failure you diagnosed.
• Experience working with Coding Agents is a must

Process

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply..

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Puzzle Solver (Coding)

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you choose the hours and days you work, including weekends if desired

We are looking for highly skilled competitive puzzle solvers to contribute to an AI training project involving algorithmic reasoning, debugging, constrained technical problems, and reproducible software solutions.

The work involves solving self-contained coding and technical challenges designed to test the capabilities of advanced AI models. A representative task may require exploring an unfamiliar codebase or terminal environment, understanding a precise objective, implementing a solution, testing it against hidden or explicit constraints, and producing a reproducible final result.

What You’ll Work On

• Solve self-contained coding, logic, debugging, and technical reasoning challenges.
• Analyze unfamiliar problems and translate their requirements into implementable solutions.
• Select appropriate algorithms, data structures, and problem-solving strategies.

Required Qualifications

• A Codeforces profife is a must
• Strong understanding of common data structures and algorithms.
• Ability to reason carefully about constraints, complexity, edge cases, and correctness.
• Experience debugging unfamiliar code or solving technically ambiguous problems.

A public or otherwise verifiable Codeforces profile demonstrating meaningful competitive-programming experience is nice to have.

Process

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Aerodynamics Expert (MSc. or PhD)

Pay: $80–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you can choose the hours and days you work, including weekends if desired

We are looking for a highly skilled Aerodynamics Expert to contribute to an AI training project involving computational fluid dynamics, aerodynamic analysis, engineering simulation, and Python.

The work involves creating, solving, reviewing, and validating engineering tasks that can be completed through programmatic, command-line-based workflows. A representative task may require analyzing an airfoil, preparing a computational domain and mesh, defining appropriate boundary conditions, running a CFD simulation, calculating lift and drag, and determining whether the resulting flow field is numerically and physically valid.

What You’ll Work On

• Solve and validate aerodynamic and fluid-dynamics problems.
• Translate physical requirements into computational models and solver-ready cases.
• Create or modify geometries, computational domains, and meshes.
• Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
• Run CFD and aerodynamic-analysis workflows using command-line-accessible tools.
• Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.

Required Qualifications

• An MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; or
• A BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aero-specific professional or research experience.
• Strong understanding of fluid mechanics and applied aerodynamics.
• Experience formulating and executing CFD or aerodynamic analyses.
• Practical proficiency with Python .
• Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API.
• Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
• Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
• Ability to communicate technical reasoning and engineering trade-offs clearly.

Relevant tools may includePython, OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.

Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or domain-specific scientific packages. No single library is mandatory.

Process

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

About the work

We are building expert-authored forecasting and research data used to evaluate and improve AI models on real political and financial analysis. Each task asks a practitioner to reason from a fixed evidence cutoff - no hindsight - and document the judgment a strong analyst would have made at that moment.

This role covers political report authorship: elections, polling, and political-risk events.

What you will do

• Author point-in-time political reports and forecasts from a stated evidence cutoff
• Make and document directional judgments about polling, win probabilities, and market-implied odds
• Explain the causal mechanism behind an event's expected political and market impact
• Review model-generated analyses and grade them against your own standard

Who we are looking for

• Local political analysts with hands-on experience on specific races in swing states: current or upcoming Senate, governor, or statewide contests, or recent cycles in the same state
• On-the-ground knowledge of the electorate, the candidates, and the local political environment, from roles such as university political scientist, state or regional pollster, state-level campaign or party analytics staff, or state political-risk analyst
• A record of making live judgments about polling, win probabilities, or odds in those races - not retrospective commentary
• Strong polling literacy and causal event analysis
• Typically 8+ years of direct experience, or unusually strong evidence of equivalent performance

Backgrounds we look at first: political science departments and survey research centers at universities in the target states, state and regional pollsters, state-level campaign and party analytics teams, and decision desks or race-ratings outlets with state-specific coverage. National forecasting or political-risk experience is welcome when paired with deep knowledge of a specific state. Brand-name experience is a strong first-pass signal but is not a hard requirement - direct experience and performance on the work sample determine who qualifies.

Not a fit

• Profiles whose experience is mainly international politics, geopolitics, or country risk, with little or no work on US races
• Analysts who have not worked on a current or recent US race in the state they would cover
• Pure communications or journalism profiles without demonstrated forecasting, polling, or probabilistic judgment
• Academic profiles whose work is purely theoretical, with no analysis of live races

Point-in-time discipline

Every task is graded on reasoning from the stated cutoff without hindsight, data leakage, confidential information, or material non-public information.

About the work

We are building expert-authored forecasting and research data used to evaluate and improve AI models on real political and financial analysis. Each task asks a practitioner to reason from a fixed evidence cutoff - no hindsight - and document the judgment a strong analyst would have made at that moment.

This role covers political report authorship: elections, polling, and political-risk events.

What you will do

• Author point-in-time political reports and forecasts from a stated evidence cutoff
• Make and document directional judgments about polling, win probabilities, and market-implied odds
• Explain the causal mechanism behind an event's expected political and market impact
• Review model-generated analyses and grade them against your own standard

Who we are looking for

• Local political analysts with hands-on experience on specific races in swing states: current or upcoming Senate, governor, or statewide contests, or recent cycles in the same state
• On-the-ground knowledge of the electorate, the candidates, and the local political environment, from roles such as university political scientist, state or regional pollster, state-level campaign or party analytics staff, or state political-risk analyst
• A record of making live judgments about polling, win probabilities, or odds in those races - not retrospective commentary
• Strong polling literacy and causal event analysis
• Typically 8+ years of direct experience, or unusually strong evidence of equivalent performance

Backgrounds we look at first: political science departments and survey research centers at universities in the target states, state and regional pollsters, state-level campaign and party analytics teams, and decision desks or race-ratings outlets with state-specific coverage. National forecasting or political-risk experience is welcome when paired with deep knowledge of a specific state. Brand-name experience is a strong first-pass signal but is not a hard requirement - direct experience and performance on the work sample determine who qualifies.

Not a fit

• Profiles whose experience is mainly international politics, geopolitics, or country risk, with little or no work on US races
• Analysts who have not worked on a current or recent US race in the state they would cover
• Pure communications or journalism profiles without demonstrated forecasting, polling, or probabilistic judgment
• Academic profiles whose work is purely theoretical, with no analysis of live races

Point-in-time discipline

Every task is graded on reasoning from the stated cutoff without hindsight, data leakage, confidential information, or material non-public information.

1\. Overview

Join a leading AI lab's cutting-edge research team and help shape how its next generation of video models is judged. We're seeking film, theater and visual effects professionals who understand how a shot is built, from lighting and grade to framing, camera movement, continuity, texture and performance, to compare AI-generated video side by side and explain which result holds up to a professional eye. This work is ongoing, with new rounds as new models are released.

This is a W-2 employment position with Cincinnatus LLC (or appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

2\. Key Responsibilities

• Evaluate pairs of AI-generated videos made from the same prompt and choose the stronger result on specific craft axes: lighting and grade, framing and composition, camera and lens direction, texture and physical realism, shot continuity, and acting and dialogue delivery.
• Write short, precise reasons for each judgment that name what worked and what broke, in the language a supervisor would use in dailies.
• Check each video against its prompt, including whether the requested camera move, lens, framing or performance was actually delivered.
• Take part in calibration rounds with other raters so judgments stay consistent across the pool, and flag prompts or guidelines that are unclear.
• Collaborate with other subject matter experts to ensure consistency and accuracy in evaluation data.

3\. Core Qualifications

• Professional or graduate experience in at least one of the following: film or theater (including current graduate students), character animation focused on human performance, character technical direction, acting coaching or teaching, directing (especially crowd and background action), assistant directing, compositing, lighting, texture or surfacing, render wrangling, color or digital imaging (assistant colorist or DIT), camera department (1st AC or camera operator), editing, or display and AV quality assurance.
• Either training at a respected film, theater or animation program plus 2+ years of practical experience, or 4+ years of practical experience including at least two projects with a theatrical release.
• A trained eye for detail on screen and the ability to put it into clear, specific words.
• Fluency in English. Proficiency in a second dubbing language (French, Italian, German, Spanish, Portuguese, Korean or Hindi) is a strong plus.
• Access to a good quality display and headphones for reviewing video and dialogue.
• Ability to engage reliably for at least 20 hours/week during weekdays.
• Strong written communication skills and the ability to explain creative judgments clearly.

About Cincinnatus LLC

Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity

Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

1\. Overview

A leading AI lab is building a performance transfer model: one that takes an actor's original performance and carries it faithfully into a new output, keeping the timing, the emotion and the small physical choices that make it feel real. We're looking for senior character animators who have spent their careers bringing acting to life on feature films, VFX and games, to help define what a well transferred performance looks like and judge where the model gets it right or wrong.

This is a part-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

2\. Key Responsibilities

• Set the quality bar: Define clear standards for when a performance has been carried over well, in body mechanics, facial nuance, timing and emotional intent, and point out where current evaluations fall short.
• Critique model outputs: Review generated performances shot by shot, the way you would in dailies, and write precise, actionable notes.
• Build benchmarks: Choose reference performances that range from easy to genuinely hard to capture, so the model is tested on what matters.
• Shape the reviewer pool: Help define the profile, rubric and calibration for the human reviewers who score outputs at scale.
• Collaborate with other experts to keep evaluations consistent and accurate.

3\. Core Qualifications

• 10+ years as a hands-on character animator focused on human and character acting, at Senior, Lead or Principal level.
• Animator credits on several feature films, VFX features or AAA game cinematics at recognized studios (e.g., Sony Pictures Imageworks, ILM, Animal Logic, Laika, Pixar, Disney, DreamWorks, Framestore, MPC, DNEG, Weta FX).
• A sharp eye for micro expressions, lip sync, weight and timing, and the small acting choices that make a performance feel authentic.
• Strongly preferred: facial animation experience, and recent work in real-time engines (Unreal or Unity), VR/XR, or performance capture pipelines.
• Hands-on use of generative image and video tools (e.g., Sora, Veo, Midjourney, Runway, Kling) to create your own samples for testing and comparison.
• Able to work on-site in Playa Vista (Los Angeles), CA or New York, NY for in-person working sessions once or twice a month.
• Strong written communication and the ability to turn visual detail into clear, precise language for evaluation templates.

About Cincinnatus LLC

Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity

Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are seeking experienced US-based Medical Doctors (MD) or international equivalent (MBBS, MBChB, Medical Diploma, etc.) to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for medical accuracy, safety, and relevance - contributing to the development of responsible AI in healthcare.

What You'll Do Day-to-Day

• Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on the medical field.
• Evaluate diagnoses, treatment plans, and summaries for medical cases.
• Provide expert feedback to improve medical integrity and safety of LLM outputs.
• Collaborate with AI researchers and clinicians to align model performance with evidence-based medical standards.

Requirements

• Based in the US (mandatory).
• Medical Doctor (MD) or international equivalent (MBBS, MBChB, Medical Diploma, etc.)
• Must be fully licensed and practicing medicine within the USA.
• Minimum 1 year post-residency experience practicing as a Medical Doctor / General Physician (no specific specialization required).
• Strong attention to detail
• Technically savvy - able to navigate web-based annotation platforms, use image zoom/tools, follow detailed guidelines, and accurately complete structured questionnaires.
• Experience in medical content review, clinical research, annotation or AI/ML evaluation preferred.

Interview Process

• Complete an interest check form (10 minutes)
• Internal review from Turing
• Selected for hire!

About the project

We are seeking United States-based contributors who are fluent or near-native in English to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in the United States
• Must be fluent or near-native in English
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Switzerland-based contributors who are fluent or near-native in Italian to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Switzerland
• Must be fluent or near-native in Italian
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $2.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $30 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Canada-based contributors who are fluent or near-native in English to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Canada
• Must be fluent or near-native in English
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Bulgaria-based contributors who are fluent or near-native in Bulgarian to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Bulgaria
• Must be fluent or near-native in Bulgarian
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $15 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Finland-based contributors who are fluent or near-native in Finnish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Finland
• Must be fluent or near-native in Finnish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $28 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Israel-based contributors who are fluent or near-native in Hebrew to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Israel
• Must be fluent or near-native in Hebrew
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $24 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Denmark-based contributors who are fluent or near-native in Danish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Denmark
• Must be fluent or near-native in Danish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $28 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Sweden-based contributors who are fluent or near-native in Swedish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Sweden
• Must be fluent or near-native in Swedish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $28 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Netherlands-based contributors who are fluent or near-native in Dutch to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Netherlands
• Must be fluent or near-native in Dutch
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $26 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Switzerland-based contributors who are fluent or near-native in German to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Switzerland
• Must be fluent or near-native in German
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $2.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $30 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Germany-based contributors who are fluent or near-native in German to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Germany
• Must be fluent or near-native in German
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Switzerland-based contributors who are fluent or near-native in French to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Switzerland.
• Must be fluent or near-native in French.
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $2.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $30 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking France-based contributors who are fluent or near-native in French to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in France
• Must be fluent or near-native in French
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Mexico-based contributors who are fluent or near-native in Spanish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Mexico
• Must be fluent or near-native in Spanish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $13 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Morocco-based contributors who are fluent or near-native in Arabic to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Morocco
• Must be fluent or near-native in Arabic
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $14 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Malaysia-based contributors who are fluent or near-native in Malay to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Malaysia
• Must be fluent or near-native in Malay
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $13 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Indonesia-based contributors who are fluent or near-native in Indonesian to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Indonesia
• Must be fluent or near-native in Indonesian
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $18 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are seeking an analytical researcher and red-teaming specialist to build evidence-based web-research benchmark tasks that reliably expose weaknesses in state-of-the-art (SOTA) AI models (e.g., Claude Opus 5 Max). In this role, you will discover hard-to-surface facts, build precise research tasks around them, test them directly against leading LLMs, and diagnose the exact failure mechanisms in the model's search and reasoning paths.

Your work will directly shape AI evaluation frameworks, ensuring next-generation frontier models are tested against rigorous, non-trivial real-world research scenarios.

Job Requirements

• Core Experience: 1+ years in investigative research, fact-checking, AI benchmark task authoring, red-teaming, or technical QA review.
• Benchmark Familiarity: Proven experience authoring, testing, or reviewing tasks for AI benchmarks such as GAIA, BrowseComp, SimpleQA, SWE-bench, Terminal-Bench, or Humanity’s Last Exam (HLE) .
• Analytical & OSINT Skills: Intermediate-to-advanced web search and Open Source Intelligence (OSINT) skills; ability to navigate academic archives, local records, or obscure databases.
• Model Trajectory Debugging: Strong analytical capability to inspect model reasoning chains, search logs, and source selection to diagnose root causes of failure.
• Precision Writing: Ability to author clear, unambiguous benchmark prompts with bulletproof, primary-sourced answer keys.

Job Responsibilities

• Obscure Fact Discovery: Deeply research niche topics to identify factual ground truths that cannot be surfaced via simple, direct search queries.
• Source Verification: Rigorously verify facts against primary or highly credible sources, cross-check for contradictory evidence, and document exact source URLs.
• Task Construction: Draft clear, answerable benchmark tasks designed specifically to expose structural weaknesses in model research strategies.
• Red-Teaming & Model Testing: Execute tasks against designated SOTA models to confirm they reliably trigger intended model failures.
• Failure Diagnosis & Debugging: Trace model run logs, search trajectories, and intermediate outputs to pinpoint exactly where and why the model failed (distinguishing genuine model limitations from ambiguous prompts).
• Pattern Scaling & Review: Apply validated "model-breaking" research patterns across new domains and, for strong performers, review tasks authored by peer trainers. Strong Plus (Preferred Qualifications)
• Bachelor or higher degree from relevant engineering domain is a must for this position.
• Prior experience specifically designing prompt-injection or reasoning-trap tasks that break SOTA models.
• Advanced OSINT capabilities or published investigative/academic research demonstrating deep source verification.
• Niche domain expertise in areas rich with hard-to-find records (e.g., local government filings, regional sports history, legal archives, historical patents).
• Experience serving as a lead reviewer, benchmark auditor, or quality owner on AI evaluation projects.

Offer Details

• Commitments Required: Upto 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length: upto 4 weeks

Evaluation Process -

• Candidates will be require to submit a Job Interest Form & assessment .
• Talents finalized in assessment will go through assessment, review & will proceed further accordingly.

About Turing

Turing is an AI-powered tech services company with a mission to accelerate AGI advancement and deployment by bridging the gap between global talent from 100+ countries and the world's best foundational LLM companies, by helping them improve performance through model evaluation, fine-tuning, feedback, factuality and handling diverse data.

Role Overview

We are seeking creative and detail-oriented Image Annotation QA who can create high-quality stylized assets from briefs and references. The ideal candidate should have strong skills in 3D modeling, texturing, lighting, shading, rendering, and material creation.

Project Snapshot

• Estimated earning potential of approximately $7hour
• 8 weeks remote project
• Up to 40 hours/week ; Full-time artists working up to 20 hours/week are welcome
• Paid in USD What You’ll Do
• Create stylized 3D models and digital assets.
• Work with low-poly, voxel, handcrafted, and material-driven styles.
• Recreate textures such as clay, fabric, paper, and textiles.
• Apply strong skills in topology, UV mapping, lighting, shading, and rendering.
• Produce consistent variations and optimize assets for production.
• Document workflows and incorporate feedback.

Requirements

• Freshers, emerging Digital artists, and experienced professionals are welcome.
• Strong portfolio showcasing stylized 3D work and material exploration.
• Proficiency in Blender, ZBrush, Adobe Creative Suite, After Effects, 3ds Max, or Cinema 4D .
• Familiarity with relevant plugins and scripts.
• Understanding of NPR workflows, visual storytelling, and asset optimization.
• Strong communication, attention to detail, and time-management skills.

What’s Next?

Submit your application and portfolio. Shortlisted candidates will undergo a portfolio review before onboarding.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We’re seeking detail-oriented annotators to evaluate how well audio and video clips align. You’ll review an audio or video query, compare two options (A and B) in the complementary format, and select the best match.

Key Responsibilities

• Review each audio or video query and compare the two provided options.
• Select the video that best matches an audio query, or the audio that best matches a video query.
• Follow annotation guidelines to deliver accurate, consistent judgments.
• Aim for an average handling time (AHT) of 30 seconds per annotation while maintaining quality.

Requirements

• Proficiency in English, with the ability to understand and follow written instructions.
• Ability to accurately perceive and distinguish the audio cues required for the task, including stereo sound.
• Use of headphones throughout the tasks to evaluate stereo audio accurately.
• Strong attention to detail and the ability to compare short audio and video clips.

Task Details

• Clip length: Approximately 5 seconds per audio/video segment.
• Task format: Compare two options (A and B) and select the best match for the query.
• Expected AHT: 30 seconds per annotati

Location

• Remote - Poland
• Preferred: Wrocław region for occasional onsite collaboration

Employment Type

• Part-Time / Contract
• Estimated workload: approximately 100 hours/month, roughly up to 25 hours per week

About the Role

We are seeking an experienced English-to-Polish translator and Polish linguist with strong expertise in clinical/healthcare and marketing content review. Experience with medical devices, dental, orthodontic, pharma, life sciences, cosmetics, lab, or similarly regulated content is highly preferred.

This is not a standard translation role. The primary responsibility is reviewing and improving Polish content produced by external translation providers, ensuring linguistic accuracy, consistency, compliance, terminology alignment, and market relevance.

The role will review content across both clinical education and marketing, including professional-facing, healthcare/clinical, and consumer-facing materials.

The role acts as a local linguistic authority and quality gatekeeper, bridging Marketing, Clinical teams, local stakeholders, and external vendors. The focus is improving translation quality at scale, maintaining terminology standards, reducing review burden on internal teams, and streamlining localization processes. Occasional ad-hoc English-to-Polish translation may be required for urgent or short-form content.

Key Responsibilities

• Review Polish translations of marketing, clinical education, and professional-facing content for accuracy, tone, terminology, and consistency with style guides.
• Act as the main linguistic liaison between internal teams, local reviewers, and translation providers, aligning expectations and resolving language-related issues.
• Consolidate and clarify feedback from Marketing, Clinical, Legal, and local stakeholders to ensure vendors receive clear, consistent direction.
• Provide structured, actionable feedback to vendors based on recurring issues and quality trends.
• Own and maintain Polish terminology assets and contribute to the evolution of the style guide.
• Improve localization workflows by identifying bottlenecks, reducing review cycles, and supporting quality reporting.
• Support machine translation and AI initiatives where needed, including post-editing and linguistic input for future model improvement.
• Provide occasional ad-hoc English-to-Polish translation or validation for urgent or limited-scope needs.

Requirements

• Native-level Polish speaker.
• Strong communication skills in Polish and English.
• Professional English-to-Polish translation experience.
• Degree in Linguistics, Languages, Communications, Life Sciences, Healthcare, or a related field.
• Experience in translation review, linguistic QA, in-country review, or localization quality review.
• Experience using CAT tools or translation/localization platforms.
• Strong background reviewing healthcare, clinical, medical, life sciences, or similarly regulated content.
• Ability to review both clinical education/professional-facing content and marketing/consumer-facing content.
• Solid understanding of terminology management, style guides, and localization best practices.
• Experience working with external translation vendors and cross-functional stakeholders.

Preferred

• Experience in medical devices, dental, orthodontics, clear aligners, pharma, cosmetics, lab, or regulated healthcare industries.
• Exposure to MT/AI post-editing or language technology initiatives.
• Based near Wrocław for occasional onsite collaboration.

Impact

This role ensures Polish content is accurate, consistent, compliant, and locally relevant while improving efficiency across localization workflows.

By strengthening terminology governance, consolidating stakeholder feedback, and improving vendor feedback loops, this person will help reduce review burden on internal teams and improve the speed and quality of localized communications.

Role Title: App Security Expert

Role Type: Contractor

Location: Remote

micro1 is engaging App Security Experts to contribute to a customer’s dynamic project focused on real-world application security. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work

• Design and implement small, purpose-built application fixtures with embedded security vulnerabilities or secure solutions, specifically addressing OWASP LLM risks such as Sensitive Information Disclosure and Excessive Agency.
• Develop deterministic test cases and security-context manifests to robustly assess application security posture.
• Create detailed hidden answer keys to enable accurate AI or scanner evaluation of vulnerable versus secure code.
• Evaluate and iterate on pipeline methodologies to ensure synthetic tasks and fixtures are challenging yet realistic for AppSec assessment.
• Document technical insights and methodologies, ensuring clarity in written feedback and communication.
• Collaborate through clear and thorough written and verbal communication to share findings and review peer contributions.
• Engage with agent-based security architecture and contribute to continuous improvement of the evaluation pipeline.

Preferred Qualifications

• Extensive experience (ideally 5+ years) in application security, secure software development, or CyberSWE roles.
• Strong understanding of OSWE, LLM security, AI-powered static analysis (AI-SAST), and AppSec best practices.
• Proven track record designing or evaluating security architecture for traditional and agent-based applications.
• Expertise in building, securing, and testing application codebases, including identifying and remediating advanced vulnerabilities.
• Exceptional written and verbal communication skills, with a focus on precise technical documentation and collaborative feedback.
• Experience with synthetic security fixtures and deterministic testing approaches is highly desirable.
• Demonstrated ability to deliver thoughtful insights and actionable security recommendations in a remote contribution context.

Job Title: Clinical, Microbiome & Translational Research Scientist (PhD)

Job Type: Contractor

Location: Remote(Worldwide)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

• Design and write challenging, expert-level scientific problems in microbiome/metagenomics, clinical and translational bioinformatics, and related life sciences, with clear, verifiable solutions.
• Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors non-specialists would miss.
• Develop detailed rubrics and reference answers grounded in primary literature and established methodology.
• Apply domain expertise across areas such as 16S and shotgun metagenomics, virome/host-microbiome analysis, biomarker discovery, clinical genomics, and omics-driven precision medicine.
• Provide clear written explanations of your reasoning so other experts can follow and validate it.
• Meet quality standards through iterative feedback and peer review.

Required Qualifications (MUST)

• PhD in Microbiology, Bioinformatics, Computational Biology, Biomedical Sciences, Immunology, Epidemiology, or a closely related field.
• Hands-on research experience in an academic or industry lab (wetlab experience is a plus).
• Professional written and spoken English (C1 or higher).

Preferred Skills

• Postdoctoral or industry research experience in microbiome, clinical, or translational research.
• Publication record, ideally first-author papers in relevant journals.
• Microbiome tools: QIIME2, Kraken2, MetaPhlAn, HUMAnN, MAG assembly/binning, virome analysis.
• Clinical/translational: TCGA, UK Biobank, biomarker discovery, survival analysis, EHR + omics integration, oncology/immunology genomics.
• Statistics and ML for high-dimensional biological data.
• Programming: Python and/or R (required in practice), Bash, workflow tools.
• Experience reviewing, benchmarking, or writing scientific content.

Job Title: Computational Biology & Bioinformatics Expert (PhD)

Job Type: Contractor

Location: Remote (Worldwide)

Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

• Design, evaluate, and critique bioinformatics and computational biology workflows to support AI benchmarking initiatives.
• Provide expert-level insights on genomic, transcriptomic, and proteomic data analysis pipelines.
• Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
• Analyze biological datasets (e.g., NGS, RNA-seq, variant calling, protein structure) and provide actionable recommendations.
• Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.

Required Skills and Qualifications

• PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry/research experience.
• Professional written and spoken English (C1 or higher).
• Hands-on experience analyzing biological data (e.g., NGS, RNA-seq, variant analysis).
• Proficiency in Python and/or R for scientific analysis, plus experience with standard bioinformatics tools (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
• Experience building reproducible workflows with tools such as Nextflow or Snakemake, and comfort working in Linux/command-line environments.
• Strong statistical, quantitative, and analytical reasoning skills.
• Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
• Track record of rigorous scientific problem-solving in complex biological domains.

Preferred Qualifications

• Experience with AI/ML-assisted biology workflows or benchmarking.
• Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
• Background in single-cell analysis, structural biology, proteomics, or drug discovery.
• prediction/retrosynthesis.

Role Title: English Voice Recording

Role Type: Contractor

Pay:** **$20 - 70/hour

Project kickoff: Monday, October 19th

You’ll need: A quiet room with no background noise, a reliable internet connection, and a smartphone or computer that can record clear audio

Your tasks: Read provided English text aloud, record it following detailed guidelines, and submit clean audio files

micro1 is engaging native and near-native English speakers for a read-aloud speech recording project. The work is straightforward: you’ll be given English text, you read it aloud following clear guidelines, and you submit the recording. Your voice helps train next-generation AI speech systems. No prior AI experience is required - clear speech and careful attention to instructions are what matter.

Scope of Work

• Read provided English prompts aloud, accurately and naturally, following the pronunciation and pacing guidelines.
• Follow the instructions for each prompt exactly - including reading answer choices when the task asks for it - without adding your own responses or interpretations.
• Record and submit clear audio files using the tools or platform provided.
• Keep your delivery consistent across sessions: same clarity, same enunciation, same pace.
• Re-record and resubmit when a take doesn’t meet the quality standard.
• Flag prompts that are unclear, ambiguous, or have technical problems instead of guessing how to read them.
• Stay in touch with project coordinators to align on quality expectations.

Preferred Qualifications

• Native or near-native English speaker, with clear and natural spoken delivery.
• Able to read written text aloud smoothly, without stumbling or flattening it into a monotone.
• Strong attention to detail and the discipline to follow instructions exactly, every time.
• Access to a consistently quiet space for recording.
• Reliable internet connection.
• Comfortable working independently and submitting on schedule.
• Experience with voice work, audiobook narration, voiceover, or audio recording tools is a plus, but not required.

How the selection process works

• Apply and complete the screening questions
• Complete the AI interview
• Fill out a form
• Profile review
• Onboarding - our Talent Ops team will get you set up.

Role Title: QA Engineer

Role Type: Contractor

Location: Remote

micro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This opportunity is ideal for those passionate about quality assurance and eager to be at the forefront of AI innovation, with a focus on data integrity, annotation, and comprehensive model evaluation.

Scope of Work

• Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements.
• Review, annotate, and label data sets to enhance machine learning model training accuracy.
• Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement.
• Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements.
• Contribute to the development and refinement of testing methodologies specific to AI-driven systems.
• Maintain detailed, organized records of evaluations, test results, and feedback through written documentation.
• Provide actionable recommendations to optimize data quality and model performance.

Preferred Qualifications

• Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.
• Prior experience with data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.
• Proficiency in English at B2 level or above for effective collaboration and reporting.

Job Title: STEM Expert – Biology & Bioinformatics (PhD)

Job Type: Contractor

Location: Remote(Worldwide)

Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

• Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
• Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
• Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
• Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
• Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.

Areas of Expertise (we welcome applicants from any of the following)

• Genomics & NGS analysis
• Transcriptomics & single-cell analysis
• Proteomics & structural biology
• Molecular & cell biology
• Systems biology & biological network analysis
• Drug discovery & computational pharmacology
• Biostatistics & machine learning applied to biology

Required Skills and Qualifications

• PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
• Professional written and spoken English (C1 or higher).
• Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.
• Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
• Strong statistical, quantitative, and analytical reasoning skills.
• Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
• Track record of rigorous scientific problem-solving in complex biological domains.

Preferred Qualifications

• Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments.
• Experience with AI/ML-assisted biology workflows or benchmarking.
• Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.

Role Title: Applied Scientist

Role Type: Contractor

Location: Remote

micro1 is engaging Applied Scientists to contribute to a customer's data-driven project, focusing on advanced analytics and experimentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters. This opportunity is part of an open Data Scientist project, with a strong emphasis on clear written and verbal communication.

Scope of Work

• Design and execute statistical analyses to uncover actionable insights from complex datasets.
• Develop and validate machine learning models for various business or research objectives.
• Apply data modeling techniques and manage large-scale data transformations using Python and Pandas.
• Collaborate with stakeholders to define experimentation frameworks and analyze outcomes.
• Document methodology, findings, and recommendations with a focus on clarity and precision.
• Review peer contributions and provide high-quality feedback to support knowledge sharing.
• Deliver reproducible code and well-organized analytical reports as part of the project deliverables.
• Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems.
• Create expert-level prompts, datasets, and reference solutions.
• Identify flawed methodology, statistical errors, and weak quantitative reasoning.
• Provide clear, structured feedback that improves model capability.

Preferred Qualifications

• At least one year at a top company (tech, finance, or research).
• Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn).
• Demonstrated experience in applied statistics, experimental design, and machine learning.
• Proven ability to develop, tune, and evaluate machine learning models in practical settings.
• Strong data modeling skills and experience managing structured and unstructured data.
• Excellent written and verbal communication skills, with a passion for clear technical documentation.
• Experience collaborating on open or cross-functional data science projects is a plus.
• Advanced academic background or hands-on work in data science, applied mathematics, or related fields.

Role Title:STEM Expert – Chemistry & Computational Chemistry (PhD)

Role Type:Contractor

Location: Remote (Worldwide)

Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

• Design, evaluate, and critique chemistry and computational chemistry problems, workflows, and reasoning chains to support AI benchmarking initiatives.
• Provide expert-level insights on reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods.
• Assess and optimize experimental protocols, simulation parameters, and software configurations for accuracy and reproducibility.
• Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations.
• Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.

Areas of Expertise (we welcome applicants from any of the following)

• Organic synthesis & reaction mechanisms
• Inorganic & organometallic chemistry
• Physical & theoretical chemistry
• Analytical chemistry & spectroscopy
• Computational chemistry & molecular dynamics
• Cheminformatics & drug discovery
• Materials science & polymer chemistry

Required Skills and Qualifications

• PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field.
• Hands-on research lab experience , including wet lab experience for experimental subfields, or extensive simulation-heavy research for computational subfields.
• Deep expertise in at least one of the areas listed above.
• Professional written and spoken English (C1 or higher).
• Proficiency in Python and/or industry-standard tools in your subfield (e.g., Gaussian, ORCA, Psi4, GROMACS, LAMMPS, RDKit).
• Excellent quantitative, analytical, and scientific reasoning skills.
• Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
• Track record of rigorous scientific problem-solving in complex chemistry domains.

Preferred Qualifications

• Academic experience (postdoc, research scientist, faculty, or equivalent), strongly preferred.
• Peer-reviewed publications, patents, or contributions to open-source scientific software.
• Experience with AI/ML-assisted chemistry workflows or benchmarking.
• Background in drug discovery, reaction prediction, or retrosynthesis.

Job Title: Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology

Job Type: Contractor

Location: Remote(Worldwide)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

• Design and write challenging, expert-level scientific problems in the life sciences, with clear, verifiable solutions.
• Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors that non-specialists would miss.
• Develop detailed rubrics and reference answers grounded in primary literature and established experimental and computational methodology.
• Apply your domain expertise in areas such as genomics, transcriptomics and single-cell/spatial omics, epigenomics, proteomics and metabolomics, microbiome and metagenomics, structural biology, drug discovery, systems biology, and clinical/translational research.
• Bridge experimental and computational perspectives: assess whether a proposed experiment, analysis pipeline, or interpretation is scientifically sound.
• Provide clear written explanations of your reasoning so other experts can follow and validate it.
• Meet quality standards through iterative feedback and peer review.

Required Qualifications (MUST)

• Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field.
• Hands-on research experience in an academic, institutional, or industry research laboratory.
• Professional written and spoken English (C1 or higher).

Strongly Preferred

• Wet lab experience: you have personally performed experiments (e.g., PCR/qPCR, cell culture, sequencing library prep, Western blot, protein purification, LC-MS sample prep, CRISPR workflows).
• Academic research experience: postdoctoral position, staff scientist, research faculty, or equivalent.
• Peer-reviewed publications, ideally as first or corresponding author.
• PhD from a top research university (US, UK, or other leading institutions).

Role Title:Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD)

Role Type:Contractor

Location: Remote (Worldwide)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

• Design and write challenging, expert-level scientific problems in computational chemistry, structural biology, and drug discovery, with clear, verifiable solutions.
• Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, identifying subtle errors that non-specialists would miss.
• Develop detailed rubrics and reference answers grounded in the primary literature and established methodology.
• Apply domain expertise across areas such as molecular modeling and simulation, protein structure prediction and design, virtual screening and docking, QSAR/ADMET modeling, and proteomics/metabolomics data analysis.
• Provide clear written explanations of your reasoning, so that other experts can follow and validate it.
• Meet quality standards through iterative feedback and peer review cycles.

Required Qualifications (MUST)

• PhD in Computational Chemistry, Structural Biology, Biophysics, Bioinformatics, Medicinal Chemistry, Biochemistry, or a closely related field.
• Hands-on research experience in an academic or industry lab (wetlab experience is a plus).
• Professional written and spoken English (C1 or higher).

Preferred Skills

• Postdoctoral or industry research experience (pharma/biotech) in drug discovery or structural biology.
• Strong publication record, particularly first-author papers in relevant journals.
• Molecular modeling and simulation: GROMACS, AMBER, NAMD, OpenMM, free energy methods (FEP/TI).
• Structure prediction and design: AlphaFold, Rosetta, homology modeling, cryo-EM / X-ray crystallography data interpretation.
• Docking and virtual screening: AutoDock, Glide, Schrödinger Suite, MOE.
• Cheminformatics: RDKit, QSAR/QSPR, ADMET prediction, fingerprinting, library design.
• Proteomics and metabolomics: LC-MS/MS, MaxQuant, DIA/DDA workflows, PTM analysis, untargeted metabolomics.
• Programming: Python (required in practice), plus R, Bash, or similar; experience with ML for molecular property prediction (GNNs, generative models) is a plus.
• Experience with benchmarking, model evaluation, or scientific writing/reviewing.
• Ability to explain complex scientific concepts clearly and precisely in writing.

About This Project

OneForma is working with a leading consumer technology company to capture indoor 3D data in real homes in the Seattle area. A Centific moderator visits your home and records every floor with a pre-release phone app in a handheld mount. The recordings help the team test and improve the app.

You are not filmed or recorded. Only the inside of your home is captured.

What Happens During the Visit

• A Centific moderator comes to your home
• The moderator moves through each floor with the phone app, room by room
• The app records the shape, size and appearance of each room as a 3D model
• No people, pets or children may be on the floor being recorded
• Before the capture, you remove or cover sensitive items such as mail, documents, family photos and screens showing personal information
• Each session takes 60 to 120 minutes

Requirements

• A furnished single-family home in the Seattle metro area
• Single-floor and multi-floor homes are both welcome
• At least one of these features: an L-shaped layout, an open plan, curved walls, mirrors, glass, or stairs
• No people, pets or children on the floor being recorded during the capture

Nice to Have

• A home with varied layouts and features

Compensation

$125 USD for the completed home capture session.

Project Details

• In person, at your home in the Seattle metro area
• 60 to 120 minutes per session
• English

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $60/hr. Because payment is per approved task, a faster pace raises your effective hourly rate.

Turn computational work from your own physics research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a simulation, a numerical solver, a data-reduction pipeline, or a model fit you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the physics itself, not from withheld information. We're looking for researchers in: condensed-matter and statistical physics; atomic, molecular, and optical physics; photonics and electromagnetics; astrophysics, cosmology, and gravitation; nuclear, particle, and plasma physics; fluid dynamics and nonlinear physics; and continuum mechanics. Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in physics, astrophysics, applied physics, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to simulate or analyze physical systems. Familiarity with Python or machine learning alone isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in physics, astrophysics, applied physics, or a closely related field
• Has written their own code, preferably in Python, to simulate or analyze physical systems
• Able to turn your own computational research into a well-specified task with a reference solution and tests
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Research experience in AMO physics, photonics, fluid dynamics, or plasma physics
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert-level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Turn computational work from your own math research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a numerical solver, an optimization routine, a simulation, a statistical model, or an algorithm you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the mathematics itself, not from withheld information. We're looking for researchers in: numerical analysis and scientific computing; numerical linear algebra; differential equations and dynamical systems; optimization and operations research; probability, stochastic processes, and uncertainty quantification; computational statistics; discrete mathematics and algorithms; computational geometry, topology, and number theory; and inverse problems. Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in mathematics, applied mathematics, statistics, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to implement or validate mathematical methods. Familiarity with Python or machine learning alone isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in mathematics, applied mathematics, statistics, or a closely related field
• Has written their own code, preferably in Python, to implement or validate mathematical methods
• Able to turn your own computational research into a well-specified task with a reference solution and tests
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Research experience in numerical methods, optimization, stochastic processes, or computational topology or number theory
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert-level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of** $70/hr.** Because payment is per approved task, a faster pace raises your effective hourly rate.

Turn computational work from your own chemistry research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: an electronic-structure or molecular-dynamics workflow, a kinetics model, a spectroscopy fit, or a thermodynamics calculation you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the chemistry itself, not from withheld information. We're looking for researchers in: quantum chemistry and electronic structure; molecular simulation and statistical mechanics; chemical kinetics and reaction dynamics; spectroscopy and photochemistry; electrochemistry; catalysis and surface chemistry; chemometrics and analytical modeling; biophysical chemistry; atmospheric and environmental chemistry; and chemical thermodynamics. Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in chemistry, chemical physics, chemical engineering, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to set up, run, and analyze chemical calculations or models. Running standard packages (such as Gaussian or VASP) without your own scripting isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in chemistry, chemical physics, chemical engineering, or a closely related field
• Has written their own code, preferably in Python, to set up, run, and analyze chemical calculations or models
• Able to turn your own computational research into a well-specified task with a reference solution and tests
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Research experience in chemical kinetics, spectroscopy, electrochemistry, or catalysis modeling
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert-level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Turn computational work from your own engineering research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a finite-element or CFD solver, a reaction-engineering model, a physiological model, or a structural or electromagnetic simulation you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the engineering science itself, not from withheld information. We're looking for researchers in: computational mechanics and finite-element methods; computational fluid dynamics; aerospace numerical modeling; chemical and reaction engineering; biomedical and physiological modeling; civil and structural computational mechanics; environmental modeling; and computational electromagnetics. Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in mechanical, aerospace, chemical, biomedical, civil, environmental, or electrical engineering with a computational focus. Technical: Hands-on experience writing your own code, preferably Python, to implement or validate engineering models and solvers. Using commercial software (such as ANSYS, COMSOL, or Abaqus) without your own code isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in mechanical, aerospace, chemical, biomedical, civil, environmental, or electrical engineering with a computational focus
• Has written their own code, preferably in Python, to implement or validate engineering models and solvers
• Able to turn your own computational research into a well-specified task with a reference solution and tests
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Research experience developing finite-element, CFD, or other numerical solvers
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert-level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of** $70/hr.** Because payment is per approved task, a faster pace raises your effective hourly rate.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $60/hr. Because payment is per approved task, a faster pace raises your effective hourly rate.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $35/hr. Because payment is per approved task, a faster pace raises your effective hourly rate.

Turn computational work from your own earth, ocean, or climate science research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a geophysical inversion, an ocean or atmosphere model, a data-assimilation step, or a remote-sensing analysis you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the science itself, not from withheld information. We're looking for researchers in: geophysics and seismology; geodynamics; hydrology; physical oceanography and coastal dynamics; atmospheric physics and climate dynamics; numerical weather prediction and data assimilation; and geochemistry and remote sensing. Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in geophysics, oceanography, atmospheric science, geology, hydrology, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to model or analyze earth, ocean, or atmospheric systems. Familiarity with Python or machine learning alone isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in geophysics, oceanography, atmospheric science, geology, hydrology, or a closely related field
• Has written their own code, preferably in Python, to model or analyze earth, ocean, or atmospheric systems
• Able to turn your own computational research into a well-specified task with a reference solution and tests
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Research experience in data assimilation, ocean or atmosphere modeling, or seismic inversion
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert-level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Turn computational work from your own materials science research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a phase-field or CALPHAD model, an atomistic simulation, a microstructure or diffraction analysis, or a transport calculation you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the materials science itself, not from withheld information. We're looking for researchers in: electronic and quantum materials; semiconductors and optoelectronics; metals, alloys, and computational metallurgy; polymers and soft materials; ceramics and glasses; mechanical behavior and structural materials; thermal transport and lattice dynamics; battery and energy materials; surfaces, interfaces, and nanomaterials; and materials informatics. Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in materials science, physics, chemistry, mechanical engineering, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to model materials or analyze materials data. Running standard packages without your own scripting isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in materials science, physics, chemistry, mechanical engineering, or a closely related field
• Has written their own code, preferably in Python, to model materials or analyze materials data
• Able to turn your own computational research into a well-specified task with a reference solution and tests
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Research experience in phase-field or CALPHAD modeling, crystal plasticity, phonon transport, or energy materials
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert-level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $35/hr. Because payment is per approved task, a faster pace raises your effective hourly rate.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of** $35/hr.** Because payment is per approved task, a faster pace raises your effective hourly rate.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of** $70/hr.** Because payment is per approved task, a faster pace raises your effective hourly rate.

Turn computational work from your own biology research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: an analysis pipeline, a dynamical model of a biological system, a molecular or structural simulation, or a statistical inference method you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the biology itself, not from withheld information. We're looking for researchers in: genomics and bioinformatics (including single-cell and transcriptomics); systems biology and biochemical networks; structural biology and molecular biophysics; computational neuroscience; ecology and population dynamics; epidemiology and infectious disease modeling; biostatistics; biomechanics and physiological modeling; and quantitative pharmacology. Requirements

Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in biology, bioinformatics, biostatistics, biomedical engineering, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to build analysis pipelines or models of biological systems. Wet-lab work or running standard tools without your own code isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible.

Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Responsibilities

• Design and author original research-grade evaluation tasks based on your own computational work
• Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds
• Revise tasks based on structured review feedback until they're approved
• Optionally review and calibrate tasks submitted by other experts in your domain

Required qualifications

• Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in biology, bioinformatics, biostatistics, biomedical engineering, or a closely related field
• Has written their own code, preferably in Python, to build analysis pipelines or models of biological systems
• Able to turn your own computational research into a well-specified task with a reference solution and tests
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Research experience in systems or structural biology, computational neuroscience, epidemiology, or ecological modeling
• Public code, a thesis, or papers that show your computational work
• Prior experience in data annotation, data labeling, or AI/ML evaluation work

Why apply

• Work on your own schedule: task-based, not a fixed hourly commitment
• Contribute directly to how AI models are evaluated on real, expert-level scientific work
• Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of** $60/hr.** Because payment is per approved task, a faster pace raises your effective hourly rate.

Opportunity Overview

Handshake is looking for Bangla speakers as it’s spoken in Singapore to help make AI responses more personalized. This is not a traditional job - you'll use your language skills to help evaluate and rank AI responses so future models can better tailor their answers to individual users.

This is an ongoing, project-based opportunity you can take on alongside your current role.

What You'll Do

• Complete tasks on Handshake's annotation platform using your own real-world experience with AI tools
• Compare and evaluate AI-generated responses, sharing your honest preferences and reasoning
• Provide clear written feedback that helps AI better understand and personalize responses for individual users
• Complete tasks at your own pace with no set schedule or minimum hour requirement

Ideal candidates meet all of the following

• Location - Based anywhere in the world and able to work remotely in an asynchronous, self-directed capacity
• Language - Fluent in Bangla as it is used in Singapore, both written and spoken, including local vocabulary, expressions, and usage. A minimum of B2-level English proficiency is also required, as all platform content, instructions, and training materials are provided in English.
• Judgment - Comfortable forming and defending your own preferences between two AI-generated responses, even when the differences are subtle

Required for all applicants

• Must have a Bachelor's degree or higher
• Strong written communication in Bangla (Singaporean usage) and English at B-2 level proficiency
• Ability to work independently in a remote, asynchronous environment

Opportunity Overview

Handshake is looking for Hindi speakers familiar with the Singaporean-Hindi dialect to help make AI responses more personalized. This is not a traditional job - you'll use your Hindi language skills to help evaluate and rank AI responses so future models can better tailor their answers to individual users.

This is an ongoing, project-based opportunity you can take on alongside your current role.

What You'll Do

• Complete tasks on Handshake's annotation platform using your own real-world experience with AI tools
• Compare and evaluate AI-generated responses, sharing your honest preferences and reasoning
• Provide clear written feedback that helps AI better understand and personalize responses for individual users
• Complete tasks at your own pace with no set schedule or minimum hour requirement

Ideal candidates meet all of the following

• Location - Based anywhere in the world and able to work remotely in an asynchronous, self-directed capacity
• Language - Fluent in Hindi as it is used in Singapore, both written and spoken, including local vocabulary, expressions, and usage. A minimum of B2-level English proficiency is also required, as all platform content, instructions, and training materials are provided in English.
• Judgment - Comfortable forming and defending your own preferences between two AI-generated responses, even when the differences are subtle

Required for all applicants

• Must have a Bachelor's degree or higher
• Strong written communication in Hindi (Singaporean usage) and English at B-2 level proficiency
• Ability to work independently in a remote, asynchronous environment

1\. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Electrical Engineers with deep, hands-on industry experience in circuit design, power systems, or embedded hardware to bring real engineering judgment and elevate the quality of our AI training data. This is a full-time commitment of 40 hours per week for an initial engagement of 3 to 4 months, with a strong possibility of extension.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

Location: Remote within the United States; San Francisco Bay Area-based candidates strongly preferred.

2\. Key Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in electrical engineering, including circuit analysis and design, power systems and power electronics, and embedded and control systems.
• Design challenging, domain-relevant tasks, and write accurate and well-structured reference solutions to electrical engineering problems.
• Evaluate electrical engineering tasks and model outputs and provide clear, written technical feedback, catching incorrect assumptions, unit and sign errors, violated design constraints, and unsafe design choices.
• Develop guidelines and detailed rubrics to assess the quality of reasoning across areas such as analog and mixed-signal design, RF, PCB and board-level design, power distribution, signal processing, and controls.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

3\. Core Qualifications

• Bachelor's degree or higher in Electrical Engineering, Electrical and Computer Engineering, or a closely related engineering discipline.
• 5+ years of hands-on professional electrical engineering experience in industry, for example in semiconductors, consumer electronics, power and utilities, aerospace and defense, automotive and EV, robotics, telecommunications, or medical devices.
• Genuine ownership of real engineering work, for example designing and bringing up circuits or boards, running circuit simulations, specifying power systems, or taking hardware through design reviews, validation, and production.
• Working fluency with common tools (for example SPICE/LTspice, Cadence, Altium, KiCad, MATLAB/Simulink, or ETAP) and familiarity with relevant codes and standards (for example IEEE, NEC, IPC, or UL).
• Demonstrable career progression toward senior or lead engineering responsibility. A Professional Engineer (PE) license is a plus but not required.
• Hands-on working use of large language models in professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
• Ability to engage reliably for at least 40 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

About Cincinnatus LLC

Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity

Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Work Location: Remote in Colombia

Engagement Model: Independent Contractor/Freelance

Estimated Workload: 28 hours

Estimated Project Duration: 2 weeks, with the possibility of extension

Estimated Start Date: Immediate

Language Needed: Spanish (Colombia), English

DataForce by TransPerfect is seeking a Voice Director with native fluency in Spanish (Colombia) to support an upcoming Text-to-Speech (TTS) development project. We are looking for professionals who can remotely direct voice talents during recording sessions, ensuring natural delivery and adherence to project guidelines.

Role Summary

In this role, you will oversee remote recording sessions through our proprietary platform, providing real-time guidance to voice talents to ensure accurate pronunciation, natural delivery, consistency across recording sessions, and adherence to project guidelines.

Role Responsibilities

• Monitor remote recording sessions
• Provide real-time coaching on pronunciation, tone, pacing, prosody, enunciation, and natural speech delivery
• Verify compliance with project guidelines and recording standards
• Ensure recordings accurately follow the provided scripts
• Verify that recordings reflect authentic contemporary Spanish (Colombia)
• Identify and report technical or environmental issues that may affect recording quality, including background noise, distortion, clipping, microphone artifacts, or other recording defects

Role Requirements

• Native fluency in Spanish (Colombia)
• Good English communication skills
• Professional experience directing voice talents or demonstrable expertise in spoken Spanish (Colombia)
• Strong listening, communication, and interpersonal skills
• Professional experience in at least one of the following areas:

-Voice direction or voice acting -Linguistics (preferably with a focus on phonetics, phonology, or sociolinguistics) -Speech technology -Voice coaching

Preferred Role Requirements

• Previous experience directing Text-to-Speech (TTS) projects
• Knowledge of phonetics and speech production
• Experience working on speech, voice, or language-related projects
• Familiarity with remote recording platforms or digital audio production workflows
• Up to 25 hours availability per week

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at https://www.transperfect.com/dataforce .

About the Project

We’re looking for native or fluent Traditional Mandarin Chinese speakers based in Taiwan to participate in a speech data project. The project will support the development and improvement of AI speech technologies through language and speech data collection.

There are two potential workstreams, with different tasks and requirements. Candidates may be considered for one or both, depending on their qualifications and project needs.

Key Responsibilities

• Participate in speech data collection activities in Traditional Mandarin Chinese (Taiwan).
• Follow project-specific instructions and quality guidelines.
• Provide accurate, consistent speech recordings or other language-related data, depending on the assigned workstream.
• Meet established quality standards and project deadlines.

Requirements

• Native or fluent proficiency in Traditional Mandarin Chinese as spoken in Taiwan.
• Current residence in Taiwan.
• Strong attention to detail and ability to follow instructions.
• Access to a suitable device and a quiet environment for speech recording, if required by the assigned workstream.
• Must be at least 18 years old to apply for this role.

Work Location: Remote in Colombia Estimated Workload: 25 hours Engagement Model: Independent Contractor/Freelance Estimated Project Duration: 2 weeks, with the possibility of extension Estimated Start Date: Immediate Language Needed: Spanish (Colombia), English

DataForce by TransPerfect is seeking Audio Quality Assurance Reviewers with idiomatic fluency in Spanish (Colombia)to support an upcoming Text-to-Speech (TTS) development project. We are looking for detail-oriented individuals who can evaluate voice recordings for linguistic accuracy, narrative style, and overall audio quality.

Role Summary

The Audio Quality Assurance Reviewer will be responsible for reviewing recorded audio files and assessing them against project guidelines and specific evaluation criteria.

Role Responsibilities

• Review audio recordings for correct pronunciation and natural speech delivery
• Verify whether the speaker is a native Spanish (Colombia) speaker
• Evaluate whether the narrative style matches the required style
• Assess the speaker’s perceived gender
• Estimate the speaker’s perceived age
• Verify adherence to the provided scripts and project guidelines
• Identify and report audio quality issues, including background noise, distortion, clipping, or other recording defects
• Record evaluation results accurately according to the provided guidelines

Role Requirements

• Idiomatic fluency in Spanish (Colombia)
• Good English communication skills
• Strong attention to detail
• Ability to follow written guidelines and procedures
• Good listening and analytical skills
• Ability to work independently and meet project deadlines

Preferred Role Requirements

• Previous experience reviewing audio recordings
• Experience working on speech, voice, or language-related projects
• Familiarity with audio quality assessment processes
• Up to 25 hours availability per week

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at https://www.transperfect.com/dataforce . TransPerfect is an equal opportunity employer and committed to all recruitment processes and workplace free from harassment, sexual harassment and discrimination.

For more information on the TransPerfect Family of Companies, please visit our website at www.transperfect.com .

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.

Role Overview

We are seeking an experienced Mechanical Design & Analysis Expert with top-tier automotive or aerospace engineering pedigree to design datasets that will help our customers train and evaluate advanced AI models against real-world mechanical engineering workflows.

You will turn complex physical engineering challenges - spanning conceptual 3D parametric CAD, CAE simulation (FEA, CFD), DFM/DFA, and physical testing - into structured test problems, define physical grading criteria, and diagnose why frontier AI models succeed or fail.

Key Responsibilities

• Convert real-world mechanical engineering challenges into structured test scenarios with defined inputs, requirements, kinematic/geometric constraints, and verified golden reference solutions.
• Design clear scoring rubrics & programmatic validation rules for automated task verification by software engineers (e.g., verifying stress concentrations, mesh convergence, boundary conditions, tolerance stacks, GD&T adherence).
• Assess the behavior of state-of-the-art AI agents to diagnose & analyse failure modes.
• Design and manage automated and human-expert-in-the-loop QA/QC workflows to ensure dataset quality.
• Recruit and coordinate teams of internal and external engineers to build and scale training and evaluation datasets.

Required Skills/Qualifications -

• Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, Automotive Engineering, or a closely related physical discipline.
• 15+ years of industry track record delivering hardware from concept to production in top-tier automotive, aerospace, or advanced precision engineering environments.
• Deep technical expertise across the end-to-end mechanical product lifecycle: 3D parametric CAD modeling, DFM/DFA, GD&T, FEA/CFD simulation, prototype testing, and failure analysis (FMEA).
• Hands-on proficiency with industry-standard CAD and CAE tools (e.g., SolidWorks, CATIA, Siemens NX, ANSYS, Altair HyperWorks, or Abaqus).
• Proven ability to formulate complex, open-ended mechanical workflows into structured, verifiable problem statements with clear physical ground-truth criteria.
• Demonstrated experience leading, mentoring, or coordinating distributed teams of engineers and technical contributors.
• Strong verbal & written English communication skills.

Project Details

• Contract Start Date: Expected between 20 october - 23 october
• Engagement: 8 weeks (with potential chances of extension)
• Commitment - 40 hours/week
• Engagement Type: Contract

Role Title: Education Practitioner - Learning & Assessment Specialist

Role Type: Contractor

Location: Remote - USA Preferred

micro1 is engaging Education Practitioner - Learning & Assessment Specialists to contribute expertise to a customer’s innovative education project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work

• Evaluate and refine interactive learning materials, including quizzes, formative assessments, and tutoring content for accuracy, pedagogical soundness, and learner engagement.
• Analyze learning interactions to determine effectiveness in building durable understanding rather than rote answer provision.
• Apply and enhance assessment rubrics, grading criteria, and outcome measurement tools to ensure high standards of learner evaluation.
• Provide expert feedback on educational content, ensuring academic rigor, suitability for diverse learners, and alignment with learning objectives.
• Develop, review, or iterate on visual and multimodal instructional resources to enhance comprehension and retention.
• Document observations and recommendations with clarity and precision, prioritizing strong written and verbal communication for effective collaboration.
• Contribute insights to improve AI-driven educational tools and resources, drawing on experience with learning design and evaluation.

Preferred Qualifications

• Extensive experience as an instructional designer, learning scientist, assessment specialist, or educator within K-12, higher education, or edtech contexts.
• Demonstrated success designing, evaluating, or delivering tutoring, quizzes, formative assessments, or interactive educational media.
• Proficiency in judging academic correctness, learner appropriateness, and the developmental value of educational activities.
• Hands-on practice developing or applying rubrics, outcome measurement strategies, or innovative grading systems.
• Experience creating or optimizing visual, interactive, or multimodal learning materials for diverse audiences.
• Exceptional written and verbal communication skills, supporting precise feedback and effective remote collaboration.
• Strong preference for professionals with availability aligned to the US Pacific Time zone.

Role Title: Paid Photo Contributor Opportunity (Aged 50+)

Location: Remote

Job Summary

micro1 is recruiting participants aged 50 and older for a paid photo data collection project supporting the development and evaluation of artificial intelligence (AI) systems.

What you'll do

• Take and submit photographs of yourself following simple project instructions.
• Complete a short questionnaire about yourself and the submitted images.
• Complete the project remotely using your own smartphone.

Who we're looking for

The project is designed to create a dataset representing people from a broad range of racial and ethnic backgrounds, physical appearances, and age groups - including older adults, who are often underrepresented in AI training data. We are seeking participation from individuals aged 50 and above across many different communities and backgrounds.

Participants of all racial and ethnic backgrounds are welcome to apply.

Compensation: u$140 per approved task

Eligibility: 50+ / NAMER, LATAM, EMEA / smartphone

Role Title: Agriculture, Forestry & Environmental Experts

Role Type: Contractor

Location: Remote

micro1 is engaging Agriculture, Forestry & Environmental Experts to collaborate on a customer project aimed at advancing sustainable practices and environmental stewardship. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work

• Contribute domain-specific knowledge to support the training and evaluation of AI-driven solutions in agriculture, forestry, and environmental science.
• Provide detailed assessments on industry practices, challenges, and innovations across subdomains such as agricultural engineering, food science, conservation, and land management.
• Review, annotate, and validate datasets, documents, and scenarios to ensure the accuracy and relevance of AI systems in real-world applications.
• Create and refine technical content, process explanations, and policy guidance for diverse agricultural and environmental contexts.
• Advise on regulatory frameworks, sustainability initiatives, and emerging trends relevant to agriculture, forestry, and environmental conservation.
• Participate in written and verbal discussions to clarify project objectives, share insights, and align on deliverables.
• Support interdisciplinary collaboration among project stakeholders, ensuring consistent application of expert knowledge throughout project phases.

Preferred Qualifications

• Minimum of 5 years’ professional experience in agriculture, forestry, environmental conservation, or related subdomains (including agricultural engineering, food science, farm/ranch management, conservation science, or forestry).
• Proven expertise in sustainable agriculture, land management, or conservation practices.
• Strong written and verbal communication skills, with an emphasis on clarity and technical accuracy.
• Demonstrated ability to analyze complex systems, solve problems, and provide actionable recommendations.
• Familiarity with current regulatory standards, industry trends, and technological advancements in agriculture and environmental management.
• Experience collaborating on interdisciplinary projects or with cross-functional teams.
• Advanced degree in a relevant field is highly regarded.

Role Title: Retail Trade & Operations Expert

Role Type: Contractor

Location: Remote

micro1 is engaging Retail Trade & Operations Experts to contribute their specialized knowledge to a high-impact customer project within the retail sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This opportunity is open to professionals from various subdomains including Pharmacists, First-Line Supervisors of Retail Sales Workers, General and Operations Managers, and Private Detectives and Investigators who bring at least 5 years of hands-on expertise in retail operations.

Scope of Work

• Review, analyze, and provide feedback on simulated retail scenarios and operational workflows to ensure authenticity and accuracy.
• Contribute insights on best practices, industry standards, and compliance requirements across retail trade subdomains.
• Create, evaluate, and refine written content related to retail operations, sales processes, and customer service interactions.
• Assess and validate the logical consistency of retail problem-solving methods and decision-making processes.
• Participate in structured discussions to clarify terminology, operational nuances, and context-specific challenges within the retail environment.
• Deliver actionable recommendations for improving AI outputs based on real-world retail expertise.
• Collaborate remotely using strong written and verbal communication skills to ensure clear, effective knowledge transfer.

Preferred Qualifications

• Minimum of 5+ years of experience in retail trade, operations, or relevant subdomains (e.g., pharmacy operations, retail supervision, general management, private investigation in retail).
• Demonstrated ability to articulate complex operational processes and scenarios clearly in both written and verbal formats.
• Proven track record of implementing or advising on retail best practices and compliance requirements.
• Strong analytical skills with attention to detail in reviewing and validating workflows, procedures, and case studies.
• Experience working collaboratively in remote or distributed engagements.
• Familiarity with technology-driven solutions or platforms used in retail is a plus.
• Proactive approach to problem-solving and a commitment to high-quality, real-world accuracy in all deliverables.

Role Title: Employment Lawyer

Role Type: Contractor

Location: Remote, US-based only

micro1 is seeking experienced Employment Lawyers to contribute to a project focused on improving AI systems' legal reasoning and accuracy. You will review legal scenarios, evaluate AI-generated legal work, and provide expert feedback to help train advanced AI models.

Scope of Work

• Analyze employment law scenarios to identify key legal issues, assess risks, and apply sound legal judgment.
• Review AI-generated legal analyses, arguments, and documents for accuracy and completeness.
• Identify legal errors, missing information, and weaknesses in legal reasoning.
• Provide clear, structured feedback and corrections to improve AI-generated outputs.

Required Qualifications

• J.D. degree from a U.S. law school.
• Active bar license in at least one U.S. state or the District of Columbia.
• More than 3 years of substantive legal practice, preferably in employment or labor law.
• Strong legal reasoning, issue-spotting, and document review skills.
• Excellent written English communication and attention to detail.

Role Title: Paid Photo Contributor Opportunity

Location: Remote

Job Summary

micro1 is recruiting participants for a paid photo data collection project supporting the development and evaluation of artificial intelligence (AI) systems.

What you'll do

• Take and submit photographs of yourself following simple project instructions.
• Complete a short questionnaire about yourself and the submitted images.
• Complete the project remotely using your own smartphone.

Who we're looking for

The project is designed to create a dataset representing people from a broad range of racial and ethnic backgrounds and physical appearances. We are seeking participation from individuals across many different communities and backgrounds.

Participants of all racial and ethnic backgrounds are welcome to apply.

Compensation: u$140 per approved task.

Eligibility: 18+ / Hawaii-based / smartphone]

Role Title: Tax Attorney

Role Type: Contractor

Location: Remote, US-based only

micro1 is seeking experienced Tax Attorneys to contribute to a project focused on improving AI systems' legal reasoning and accuracy. You will review legal scenarios, evaluate AI-generated legal work, and provide expert feedback to help train advanced AI models.

Scope of Work

• Analyze tax law scenarios to identify key legal issues, assess risks, and apply sound legal judgment.
• Review AI-generated legal analyses, arguments, and documents for accuracy and completeness.
• Identify legal errors, missing information, and weaknesses in legal reasoning.
• Provide clear, structured feedback and corrections to improve AI-generated outputs.

Required Qualifications

• J.D. degree from a U.S. law school.
• Active bar license in at least one U.S. state or the District of Columbia.
• More than 3 years of substantive legal practice, preferably in tax law.
• Strong legal reasoning, issue-spotting, and document review skills.
• Excellent written English communication and attention to detail.
• Preferred: Experience with federal or state taxation, tax compliance, tax planning, IRS matters, tax disputes, or complex tax transactions. An LL.M. in Taxation is a plus.

Role Title: Personal Injury Lawyer

Role Type: Contractor

Location: Remote, US-based only

micro1 is seeking experienced Personal Injury Lawyers to contribute to a project focused on improving AI systems' legal reasoning and accuracy. You will review legal scenarios, evaluate AI-generated legal work, and provide expert feedback to help train advanced AI models.

Scope of Work

• -Analyze legal scenarios to identify key issues, assess liability, and apply sound legal judgment.
• Review AI-generated legal analyses, arguments, and documents for accuracy and completeness.
• Identify legal errors, missing information, and weaknesses in legal reasoning.
• Provide clear, structured feedback and corrections to improve AI-generated outputs.

Required Qualifications

• J.D. degree from a U.S. law school.
• Active bar license in at least one U.S. state.
• More than 3 years of practicing law, preferably in personal injury or civil litigation.
• Strong legal reasoning, issue-spotting, and document review skills.
• Excellent written English communication and attention to detail.

Role Title: Lawyer

Role Type: Contractor

Location: Remote, US-based only

micro1 is seeking experienced U.S.-licensed Lawyers across a wide range of legal practice areasto contribute to a project focused on improving AI systems' legal reasoning, accuracy, and judgment.

In this role, you will apply your legal expertise to evaluate complex legal scenarios, review AI-generated legal work, and provide expert feedback to help train advanced AI models.

Scope of Work

• Analyze legal scenarios involving litigation, corporate transactions, and regulatory or compliance matters to identify key legal issues, risks, and relevant legal principles.
• Review and evaluate AI-generated legal analyses, arguments, contracts, and other legal documents for accuracy, completeness, and sound reasoning.
• Identify legal errors, unsupported conclusions, missing information, and weaknesses in legal reasoning.
• Apply professional legal judgment to complex or ambiguous situations, considering relevant laws, facts, and competing interpretations.
• Provide clear, structured feedback and corrections to improve the quality and reliability of AI-generated legal outputs.

Required Qualifications

• Juris Doctor (J.D.) degree from a U.S. law school.
• Active bar license in at least one U.S. state or the District of Columbia.
• More than 3 years of substantive post-J.D. legal practice.**
• Strong legal reasoning, issue-spotting, legal writing, and document review skills.
• Excellent written English communication and attention to detail.
• Ability to work independently in a remote contractor environment.

Preferred Qualifications

• Experience in any legal practice area, including litigation, corporate, commercial, employment, personal injury, criminal, family, immigration, insurance, intellectual property, healthcare, securities, real estate, tax, privacy, environmental, or regulatory law.
• Experience reviewing complex legal documents, identifying substantive errors, or evaluating competing legal arguments.
• Familiarity with legal technology, AI-assisted research, or AI evaluation is a plus, but not required.

Role Title:Bilingual Medical Doctor (Japanese)

Role Type:Contractor - Part-Time, contract (min. ~15 hrs a week)

Location: Remote, worldwide

micro1 is engaging Medical Doctor - Physician Experts to contribute to a customer’s advanced healthcare project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. You will analyze patient and operational data to enhance healthcare outcomes, using your clinical acumen to inform the development and refinement of intelligent systems that support medical decision-making and workflow improvements.

Scope of Work

• Analyze and annotate clinical scenarios, patient cases, and healthcare data to guide AI algorithm development.
• Review and provide expert feedback on AI-generated medical content, ensuring clinical accuracy and relevance.
• Apply knowledge of diagnostic analysis, medicine, physiology, and healthcare protocols to diverse data sets.
• Translate complex clinical terminology and workflows into actionable guidance for AI model training.
• Collaborate with cross-functional teams, including data scientists and engineers, to refine project objectives and deliverables.
• Assess AI system outputs, identifying areas for improvement based on real-world clinical experience.
• Maintain high standards of data security, privacy, and ethical compliance throughout all project tasks.

Preferred Qualifications

• Current or recent experience in clinical practice with completion of residency (consideration for those in final year).
• Expertise in diagnostic analysis, general medicine, clinical protocols, and physiology.
• Preference for contributors from general specialties such as internal medicine, family practice, or emergency medicine; select subspecialties also welcome.
• Strong command of clinical terminology and ability to communicate complex concepts in writing and verbally.
• Demonstrated analytical skills and attention to detail in clinical and data-driven contexts.
• Experience interpreting and working with electronic health records, patient data, or medical documentation.
• Commitment to accuracy, compliance, and the advancement of healthcare through innovative technology.
• Japanese language fluency: JLPT N1 or equivalent (native/near-native)
• English proficiency: C1 or higher

What to expect

• AI Interview (~35 min), a short conversational screen to assess your experience and fit for the role.
• Short questionnaire, if the interview goes well, we'll invite you to complete a brief follow-up to confirm fit and gather logistics.
• Client review, strong candidates are shared with the client team for final selection.
• Offer & onboarding, if selected, you'll receive an offer and begin onboarding. Expect to start your first tasks within 24–48 hours of receiving your credentials.

Role Title: Paid Photo Contributor Opportunity (Twins)

Location: Remote

Job Summary

micro1 is recruiting sets of twins to participate in a paid photo data collection project supporting the development and evaluation of artificial intelligence (AI) systems.

What you'll do

• Both twins take and submit photographs of themselves (individually and/or together) following simple project instructions.
• Each twin completes a short questionnaire about themselves and the submitted images.
• Complete the project remotely using your own smartphones.

Who we're looking for

The project is designed to create a dataset representing people from a broad range of racial and ethnic backgrounds and physical appearances, including data that helps AI systems better understand visual similarity between related individuals. We are seeking participation from twins (identical or fraternal) across many different communities and backgrounds.

Twin pairs of all racial and ethnic backgrounds are welcome to apply.

Compensation: u$140 per approved task, per participant (i.e., up to u$280 per twin pair, depending on task structure)

Eligibility: 18+ / NAMER, LATAM, EMEA / smartphone / must have a twin sibling willing to also participate

Role Title:Bilingual Medical Doctor (Korean)

Role Type:Contractor - Part-Time, contract (min. ~15 hrs a week)

Location: Remote, worldwide

micro1 is engaging Medical Doctor - Physician Experts to contribute to a customer’s advanced healthcare project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. You will analyze patient and operational data to enhance healthcare outcomes, using your clinical acumen to inform the development and refinement of intelligent systems that support medical decision-making and workflow improvements.

Scope of Work

• Analyze and annotate clinical scenarios, patient cases, and healthcare data to guide AI algorithm development.
• Review and provide expert feedback on AI-generated medical content, ensuring clinical accuracy and relevance.
• Apply knowledge of diagnostic analysis, medicine, physiology, and healthcare protocols to diverse data sets.
• Translate complex clinical terminology and workflows into actionable guidance for AI model training.
• Collaborate with cross-functional teams, including data scientists and engineers, to refine project objectives and deliverables.
• Assess AI system outputs, identifying areas for improvement based on real-world clinical experience.
• Maintain high standards of data security, privacy, and ethical compliance throughout all project tasks.

Preferred Qualifications

• Current or recent experience in clinical practice with completion of residency (consideration for those in final year).
• Expertise in diagnostic analysis, general medicine, clinical protocols, and physiology.
• Preference for contributors from general specialties such as internal medicine, family practice, or emergency medicine; select subspecialties also welcome.
• Strong command of clinical terminology and ability to communicate complex concepts in writing and verbally.
• Demonstrated analytical skills and attention to detail in clinical and data-driven contexts.
• Experience interpreting and working with electronic health records, patient data, or medical documentation.
• Commitment to accuracy, compliance, and the advancement of healthcare through innovative technology.
• Korean native or high-level fluency (TOPIK Level 5+ or equivalent)
• English proficiency: C1 or higher

What to expect

• AI Interview (~35 min), a short conversational screen to assess your experience and fit for the role.
• Short questionnaire, if the interview goes well, we'll invite you to complete a brief follow-up to confirm fit and gather logistics.
• Client review, strong candidates are shared with the client team for final selection.
• Offer & onboarding, if selected, you'll receive an offer and begin onboarding. Expect to start your first tasks within 24–48 hours of receiving your credentials.

Description

Are you detail-oriented and passionate about language quality? We are looking for translators to join an ongoing project, helping ensure accuracy, consistency, and high standards of translated customer-facing content. This role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.

What you’ll do

• Edit and review machine-translated customer service content with a high level of accuracy and consistency.
• Evaluate MT output quality and apply severity ratings when required, following project guidelines.
• Produce high-quality human translations as reference data for model training and quality evaluation.
• Follow provided style guides, tone rules, and terminology requirements.
• Identify and report recurring MT quality issues and batch-level trends.

Requirements

• Native proficiency in the Catalan language and strong English skills.
• Experience in translation, localization, or MT post-editing.
• Familiarity with machine translation quality evaluation and error identification.
• Strong attention to detail and a quality-focused mindset.
• Ability to work independently in an online environment.

Description

Are you detail-oriented and passionate about language quality? We are looking for translators to join an ongoing project, helping ensure accuracy, consistency, and high standards of translated customer-facing content. This role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.

What you’ll do

• Edit and review machine-translated customer service content with a high level of accuracy and consistency.
• Evaluate MT output quality and apply severity ratings when required, following project guidelines.
• Produce high-quality human translations as reference data for model training and quality evaluation.
• Follow provided style guides, tone rules, and terminology requirements.
• Identify and report recurring MT quality issues and batch-level trends.

Requirements

• Native proficiency in the Valencia language and strong English skills.
• Experience in translation, localization, or MT post-editing.
• Familiarity with machine translation quality evaluation and error identification.
• Strong attention to detail and a quality-focused mindset.
• Ability to work independently in an online environment.

Description

Are you detail-oriented and passionate about language quality? We are looking for translators to join an ongoing project, helping ensure accuracy, consistency, and high standards of translated customer-facing content. This role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.

What you’ll do

• Edit and review machine-translated customer service content with a high level of accuracy and consistency.
• Evaluate MT output quality and apply severity ratings when required, following project guidelines.
• Produce high-quality human translations as reference data for model training and quality evaluation.
• Follow provided style guides, tone rules, and terminology requirements.
• Identify and report recurring MT quality issues and batch-level trends.

Requirements

• Native proficiency in the Galician language and strong English skills.
• Experience in translation, localization, or MT post-editing.
• Familiarity with machine translation quality evaluation and error identification.
• Strong attention to detail and a quality-focused mindset.
• Ability to work independently in an online environment.

Description

Are you detail-oriented and passionate about language quality? We are looking for translators to join an ongoing project, helping ensure accuracy, consistency, and high standards of translated customer-facing content. This role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.

What you’ll do

• Edit and review machine-translated customer service content with a high level of accuracy and consistency.
• Evaluate MT output quality and apply severity ratings when required, following project guidelines.
• Produce high-quality human translations as reference data for model training and quality evaluation.
• Follow provided style guides, tone rules, and terminology requirements.
• Identify and report recurring MT quality issues and batch-level trends.

Requirements

• Native proficiency in the Basque language and strong English skills.
• Experience in translation, localization, or MT post-editing.
• Familiarity with machine translation quality evaluation and error identification.
• Strong attention to detail and a quality-focused mindset.
• Ability to work independently in an online environment.

Job reference: #L1-CC1

Mercor is hiring pediatricians (MD) on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you will apply your pediatric clinical expertise to review, annotate, and evaluate clinical documentation, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.

Clinical Documentation Review

• Review pediatric clinical documentation and patient charts for accuracy, completeness, and clinical soundness
• Evaluate AI-generated clinical summaries against what a practicing pediatrician would expect to see

Annotation & Structured Feedback

• Annotate clinical encounter data against detailed guidelines
• Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output
• Provide structured, written feedback that engineering and product teams can act on

Knowledge Contribution

• Contribute expert input on annotation guidelines and edge-case definitions
• Raise clarifying questions where guidance is ambiguous and help refine the guidelines

Required Qualifications

• MD with a background as a pediatrician
• US-based
• Available for a minimum of 10 hours/week through mid-November

Preferred Qualifications

• Prior AI/ML annotation or model evaluation experience (with positive performance reviews)

Work Arrangement

• Remote, part-time
• Flexible scheduling, designed around an active clinical practice

What We're Researching

We are running a paid study on accounting workflows to understand how financial professionals manage their daily tasks. The goal is to evaluate the efficiency of current software tools and identify areas where standard processes can be improved. Your feedback will help shape better solutions for core accounting operations.

How It Works

During this remote session, you will walk us through a typical workflow for managing financial records or tax preparation. You will discuss how you utilize specific features within your primary accounting software to complete these tasks. We will ask you to react to different scenarios and describe the challenges you face during busy reporting periods. Finally, you will provide feedback on potential workflow improvements and software integrations.

Who This Is For

We are looking for mid-level accounting professionals who regularly handle financial reporting, tax preparation, or bookkeeping. We welcome CPAs, staff accountants, tax associates, and corporate bookkeepers. Candidates should have practical experience relying on industry-standard platforms like QuickBooks, UltraTax, or CCH ProSystem fx to complete their core work.

What You'll Do

• Walk us through your typical process for managing financial data.
• Describe how you utilize your primary accounting software in your day-to-day work.
• Evaluate specific workflow scenarios and provide professional feedback.
• Discuss common bottlenecks you encounter during critical reporting periods.

Who Should Apply

• Active role as an accountant, bookkeeper, or tax professional
• Hands-on experience with tools like QuickBooks Desktop, UltraTax CS, CCH ProSystem fx, or Excel
• Familiarity with managing daily financial reporting or tax preparation workflows
• Comfortable discussing technical software challenges in a professional setting

Compensation

$1,500 per task

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .

Mindrift is running a research study on how people use their phones, apps and everyday digital tools, and how that differs across languages and cultures. We’re looking for native Finnish speakers in New York to join a paid, 3-day in-person study in Midtown Manhattan.

Why your language matters

Most technology is still designed with English speakers in mind. This study helps researchers understand how people who communicate in Finnish actually use their devices, so future products work better for them.

What you’ll do

• Spend 1-3 days with our research team in Midtown Manhattan.
• Walk us through how you use your phone and favourite apps in daily life.
• Share examples of your everyday phone activity with the research team. You decide what’s included.
• Fill in a short questionnaire about your habits.

Who we’re looking for

• 18+ and currently living in NYC.
• A native Finnish speaker who grew up in Finland.
• You use Finnish in everyday life: texting friends, email, notes.
• You’ve used a smartphone as your main personal phone for 3+ years.
• Comfortable communicating in English.
• Available for 3 consecutive days (Mon–Wed or Thu–Sat), starting October 16 on Friday.
• Not currently employed by a tech or AI company.

Great fit for international students, people new to NYC, and anyone between jobs or with a flexible schedule.

Simple and transparent

Participation is voluntary and covered by a signed consent form that explains exactly what’s involved. You can ask questions at any point and stop whenever you like.

How to apply

Register on Mindrift and complete a short screening questionnaire. We’ll confirm your session dates once you’re shortlisted.

Apply now

Mindrift is running a research study on how people use their phones, apps and everyday digital tools, and how that differs across languages and cultures. We’re looking for native German speakers in New York to join a paid, 3-day in-person study in Midtown Manhattan.

Why your language matters

Most technology is still designed with English speakers in mind. This study helps researchers understand how people who communicate in German actually use their devices, so future products work better for them.

What you’ll do

• Spend 1-3 days with our research team in Midtown Manhattan.
• Walk us through how you use your phone and favourite apps in daily life.
• Share examples of your everyday phone activity with the research team. You decide what’s included.
• Fill in a short questionnaire about your habits.

Who we’re looking for

• 18+ and currently living in NYC.
• A native German speaker who grew up in Switzerland.
• You use German in everyday life: texting friends, email, notes.
• You’ve used a smartphone as your main personal phone for 3+ years.
• Comfortable communicating in English.
• Available for 3 consecutive days (Mon–Wed or Thu–Sat), starting October 16 on Friday.
• Not currently employed by a tech or AI company.

Great fit for international students, people new to NYC, and anyone between jobs or with a flexible schedule.

Simple and transparent

Participation is voluntary and covered by a signed consent form that explains exactly what’s involved. You can ask questions at any point and stop whenever you like.

How to apply

Register on Mindrift and complete a short screening questionnaire. We’ll confirm your session dates once you’re shortlisted.

Apply now

Mindrift is running a research study on how people use their phones, apps and everyday digital tools, and how that differs across languages and cultures. We’re looking for native Italian speakers in New York to join a paid, 3-day in-person study in Midtown Manhattan.

Why your language matters

Most technology is still designed with English speakers in mind. This study helps researchers understand how people who communicate in Italian actually use their devices, so future products work better for them.

What you’ll do

• Spend 1-3 days with our research team in Midtown Manhattan.
• Walk us through how you use your phone and favourite apps in daily life.
• Share examples of your everyday phone activity with the research team. You decide what’s included.
• Fill in a short questionnaire about your habits.

Who we’re looking for

• 18+ and currently living in NYC.
• A native Italian speaker who grew up in Italy.
• You use Italian in everyday life: texting friends, email, notes.
• You’ve used a smartphone as your main personal phone for 3+ years.
• Comfortable communicating in English.
• Available for 3 consecutive days (Mon–Wed or Thu–Sat), starting October 16 on Friday.
• Not currently employed by a tech or AI company.

Great fit for international students, people new to NYC, and anyone between jobs or with a flexible schedule.

Simple and transparent

Participation is voluntary and covered by a signed consent form that explains exactly what’s involved. You can ask questions at any point and stop whenever you like.

How to apply

Register on Mindrift and complete a short screening questionnaire. We’ll confirm your session dates once you’re shortlisted.

Apply now

Mindrift is running a research study on how people use their phones, apps and everyday digital tools, and how that differs across languages and cultures. We’re looking for native Dutch speakers in New York to join a paid, 3-day in-person study in Midtown Manhattan.

Why your language matters

Most technology is still designed with English speakers in mind. This study helps researchers understand how people who communicate in Dutch actually use their devices, so future products work better for them.

What you’ll do

• Spend 1-3 days with our research team in Midtown Manhattan.
• Walk us through how you use your phone and favourite apps in daily life.
• Share examples of your everyday phone activity with the research team. You decide what’s included.
• Fill in a short questionnaire about your habits.

Who we’re looking for

• 18+ and currently living in NYC.
• A native Dutch speaker who grew up in the Netherlands.
• You use Dutch in everyday life: texting friends, email, notes.
• You’ve used a smartphone as your main personal phone for 3+ years.
• Comfortable communicating in English.
• Available for 3 consecutive days (Mon–Wed or Thu–Sat), starting October 16 on Friday.
• Not currently employed by a tech or AI company.

Great fit for international students, people new to NYC, and anyone between jobs or with a flexible schedule.

Simple and transparent

Participation is voluntary and covered by a signed consent form that explains exactly what’s involved. You can ask questions at any point and stop whenever you like.

How to apply

Register on Mindrift and complete a short screening questionnaire. We’ll confirm your session dates once you’re shortlisted.

Apply now

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.

At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What we do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.

Although every project is unique, you might typically

• Designing structured test scenarios based on real-world tasks
• Defining the golden path and acceptable agent behavior
• Annotating task steps, expected outputs, and edge cases
• Working with devs to test your scenarios and improve clarity
• Reviewing agent outputs and adapting tests accordingly

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.

• You have, or are currently pursuing, a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.
• Your level of English is advanced (C1) or above.
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, with rates that can go up to $30/hour depending on your skills, experience, and project needs.
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.

At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What we do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.

Although every project is unique, you might typically

• Designing structured test scenarios based on real-world tasks
• Defining the golden path and acceptable agent behavior
• Annotating task steps, expected outputs, and edge cases
• Working with devs to test your scenarios and improve clarity
• Reviewing agent outputs and adapting tests accordingly

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.

• You have, or are currently pursuing, a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.
• Your level of English is advanced (C1) or above.
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, with rates that can go up to $25/hour depending on your skills, experience, and project needs.
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.