AI Developer Trace Task Auditor
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About the role
Evaluate the quality and correctness of AI-assisted software-development traces used to train and evaluate a frontier AI lab's models. You'll assess end-to-end coding sessions produced with AI-assisted developer tools - judging correctness, workflow soundness, and reasoning - and provide clear, rubric-based written feedback.
Basic Qualifications
- 3+ years professional software development
- Hands-on experience with AI-assisted coding tools and agentic / spec-driven workflows (Cursor, GitHub Copilot, Claude Code, or similar)
- Strong code-reading and debugging skills across full-stack or backend systems
- Ability to evaluate multi-step coding trajectories for correctness and best practice
Preferred Qualifications
- Experience with Kiro or Amazon CodeCatalyst
- Prior work evaluating or grading AI-generated code
- Contributions to developer tooling
Where you can work
This role is 100% remote, for applicants located in United States.
From Mercor's job posting, checked Oct 18, 2026.
About Mercor
Premium expert network: physicians, lawyers, engineers, PhDs.
How it pays: Weekly via Stripe (1099 contractors).
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