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The Market for Math & STEM Work

On 18 Oct 2026, 247 roles in Math & STEM were open on 21 platforms (Invisible listed 30.4%); their median advertised rate was $65/hr, about the same as the $65/hr of all AI training work; each open role drew 0.58x the apply clicks of the average role.

Data window
21 Sep 2026 to 18 Oct 2026
28 days, UTC
Computed
19 Oct 2026, 01:23 UTC
Recomputed every day
Source
The public job boards of the AI training platforms this site tracks, read every day. Apply clicks are made on AITraining.jobs; full descriptions come from the platforms whose boards publish them.
Method
Version 2. Definitions
CC BY 4.0, how to cite

Every figure on this page as CSV and JSON, sent to your work email.

Key findings

  1. 1

    Between the week of 3 Aug 2026 and the week of 12 Oct 2026, open roles in Math & STEM on the platforms tracked since 3 Aug 2026 went down 1.1%, from about 144 to 142, against +37.9% for all AI training work on the same platforms; platforms first tracked later, left out of this panel, listed about 82 more in the week of 12 Oct 2026.

    Figure 1
  2. 2

    21 platforms listed the 247 open roles in Math & STEM; Invisible held 30.4% and the three largest 57.5% (HHI 1,478, unconcentrated, against 597 for all AI training work).

    Figure 3
  3. 3

    231 of the 247 open roles in Math & STEM (93.5%) stated an hourly rate, with a median of $65/hr (middle half $40 to $83), about the same as the $65/hr of all AI training work.

    Figure 4
  4. 4

    Each open role in Math & STEM drew 0.28 apply clicks a week on AITraining.jobs, 0.58x the average AI training role: the lowest of 12 kinds of work with enough clicks to rank.

    Figure 6
  5. 5

    21.5% of the 247 open roles in Math & STEM accepted applicants from any country, against 26.8% of all AI training roles; of the 20 countries compared, residents of the United States (143), India (111) and the United Kingdom (103) could apply to the most, and residents of Palestine to the fewest (53).

    Figure 9
  6. 6

    64.8% of the 247 open roles in Math & STEM name an expert field in their title, 12 expert fields in all; Mathematics & statistics (90), Physics & astronomy (41) and Software & computer science (13) were named most.

    Figure 10
  7. 7

    Of the 228 open roles in Math & STEM with a full description, 79.8% mention a PhD or master's degree, 4.4% a professional credential and 28.5% an assessment or test; the 24 stating years of experience ask for a median of 2 years.

    Figure 11
  8. 8

    Over the 28 days from 21 Sep 2026 to 18 Oct 2026, open roles in Math & STEM on the platforms tracked at its start went down 7.8% (179 to 165): platforms listed 100 new roles and removed 116, and a removed role had been listed for a median of 37 days (33 across all AI training work).

    Figure 2

Figure 1

Open roles, week by week

Is the number of open roles in Math & STEM rising or falling?

WeekOpen roles (fixed panel)Index
3 to 9 Aug
144
100.0
10 to 16 Aug
149
103.8
17 to 23 Aug
152
106.0
24 to 30 Aug
154
107.0
31 Aug to 6 Sep
144
100.4
7 to 13 Sep
137
95.2
14 to 20 Sep
131
91.3
21 to 27 Sep
129
89.5
28 Sep to 4 Oct
126
87.6
5 to 11 Oct
126
87.9
12 to 18 Oct
142
98.9

Sample. Average open roles in Math & STEM over each week's days, on the 16 platforms tracked since 3 Aug 2026 (the fixed panel; 13 of them list this work), 3 Aug 2026 to 18 Oct 2026.

The index is the panel's open roles against the week of 3 Aug 2026 (100), beside the same index for all AI training work on the same platforms.

OpenTrain AI (first tracked 5 Sep 2026), SuperAnnotate (SME) (first tracked 10 Oct 2026), Turing (first tracked 10 Oct 2026), RemoExperts (first tracked 10 Oct 2026), Sovrano AI (first tracked 11 Oct 2026), Anyone AI (first tracked 11 Oct 2026), Vetto (first tracked 14 Oct 2026), Claru (first tracked 14 Oct 2026), Weekday (first tracked 18 Oct 2026), Rise Data Labs (first tracked 18 Oct 2026) and Scale AI Human Frontier Collective (first tracked 18 Oct 2026) list this work but were added to the dataset later, so they are left out of the panel and counted only in the last column: a platform's arrival never reads as growth.

Weeks with fewer than 10 open roles on the panel, or cut by the span, are marked.

The series starts in the week of 3 Aug 2026 at the earliest: before it, this dataset's feeds were still being added and tuned.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 2

Listings added and removed

How fast do roles in Math & STEM turn over, and is the stock growing on the same platforms?

WorkOpen on 21 Sep 2026Open on 18 Oct 2026, same platformsChangeNew listings
Math & STEM179165
-7.8%
100
All AI training work2,6062,832
+8.7%
2,401

Sample. Roles listed from 21 Sep 2026 to 18 Oct 2026: 363 in Math & STEM, 6,591 across all AI training work.

Change compares the roles open on the first and the last day of the window on the platforms tracked when it opened, so a platform added during the window does not read as growth.

A new listing first appeared in the window on a platform already tracked before that week; a platform's first week (its back catalogue) is not counted.

Median days listed runs from a removed role's listing date to its last sighting, for removed roles with a known listing date (at least 10; 113 here).

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 3

Who lists it

Which platforms list roles in Math & STEM, and what does each advertise?

Sample. 247 roles in Math & STEM open at the end of 18 Oct 2026, by the platform that lists them: HHI 1,478 (unconcentrated), against 597 for all AI training work.

HHI: the sum of every platform's squared percentage share of the open roles, 0 to 10,000; under 1,500 is unconcentrated, 1,500 to 2,500 moderately and above 2,500 highly concentrated (US merger-guideline thresholds).

Shares are of listings, not of people hired or money paid: a platform posting one role per language or country weighs more here than its hiring may.

A median needs at least 8 roles stating an hourly rate.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 4

What it pays

What do roles in Math & STEM advertise per hour, against AI training work as a whole?

WorkMedian per hour25th percentile75th percentileStating an hourly rate
Math & STEM$40$8393.5%
All AI training work$35$9082.5%

Sample. Roles open on 18 Oct 2026: 247 in Math & STEM, 231 of them stating an hourly rate; 4,358 across all AI training work.

Pay is the hourly figure the posting advertises (the middle of a stated range). The middle half runs from the 25th to the 75th percentile.

Roles paid per task or per project, or that state no figure, do not state an hourly rate. A median needs at least 8 roles stating one.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 5

How its rates are distributed

What share of roles in Math & STEM pay $50 an hour or more?

Advertised rateOpen rolesShare of priced rolesAll AI training work
Under $15/hr0
0.0%
5.6%
$15 to $25/hr0
0.0%
9.0%
$25 to $35/hr15
6.5%
10.4%
$35 to $50/hr70
30.3%
15.1%
$50 to $75/hr73
31.6%
23.1%
$75 to $100/hr30
13.0%
14.6%
$100 to $150/hr25
10.8%
17.5%
$150/hr or more18
7.8%
4.8%

Sample. 231 roles in Math & STEM open on 18 Oct 2026 that state an hourly rate, against 3,597 across all AI training work.

Each role counts once, at the middle of its advertised range. The bands are those of the pay-transparency report.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 6

Applicant demand per open role

Do roles in Math & STEM draw more or fewer applicants per opening than the average AI training role?

RolesClicks per role a weekIndex
Math & STEM
0.28
0.58x
All AI training work
0.48
1.00x
Its roles stating an hourly rate
0.24
0.50x
Its roles stating no hourly rate
0.57
1.19x
Its roles open worldwide
0.37
0.77x
Its roles limited by country
0.24
0.51x

Sample. Apply clicks on a specific role on AITraining.jobs, from 21 Sep 2026 to 18 Oct 2026: 211 on roles in Math & STEM, against the days those roles were open.

Clicks per role a week = apply clicks / (open role-days / 7). Index 1.00 is the rate of every role on the site.

Rows with fewer than 30 clicks or 3 roles open on an average day are marked as a small sample.

Apply clicks measure interest among visitors to AITraining.jobs, who see roles open in their country and recent, priced roles first. Clicks are never split by platform.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 7

Applicant demand by listing age

Do newer roles in Math & STEM draw more applicants than older ones?

Listing ageClicks per role a weekIndex (this work = 1)
Listed during the window
1.24
4.47x
Listed up to 4 weeks before it
0.38
1.39x
Listed 4 to 12 weeks before itSmall sample
0.07
0.26x
Listed more than 12 weeks before it
0.11
0.41x
Listing date unknownSmall sample
0.26
0.94x

Sample. Apply clicks on roles in Math & STEM, from 21 Sep 2026 to 18 Oct 2026, by when each role was listed relative to the window's first day (21 Sep 2026).

Listing date: the date the job board gives for the posting, or else the first day the role appeared in the feed. A role that arrived with a platform's back catalogue and gives no date has none.

The index divides each row's rate by the rate of all roles in this kind of work, so it reads within the kind.

Rows with fewer than 30 clicks or 3 roles open on an average day are marked as a small sample.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 8

Who may apply: location rules

Can people apply to roles in Math & STEM from anywhere?

Location ruleOpen rolesShare of its open rolesAll AI training work
Open worldwide5326.8%
Worldwide except listed countries38
15.4%
7.8%
Only listed countries156
63.2%
65.1%
No rule stated0
0.0%
0.3%

Sample. 247 roles in Math & STEM open at the end of 18 Oct 2026, against 4,358 across all AI training work.

The rule is read from each posting's location text, then, where that names no country, from what the posting's own description states, and where both are silent from what the platform states about where it hires.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 9

Who may apply: roles open to each country

How many roles in Math & STEM can a resident of each country apply to?

Sample. 247 roles in Math & STEM open at the end of 18 Oct 2026, for residents of a fixed set of 20 countries.

A country's count is the roles open worldwide (including roles that state no rule, as on the job board), plus roles whose list names it, plus roles whose exclusion list does not.

The 20 countries are the same in every report of this series: those named most often by the location rules of open AI training roles on 9 Oct 2026, either as the only countries accepted or as excluded.

Median pay is over the roles open to that country that state an hourly rate (at least 8).

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 10

Expert fields asked for

Which professions and disciplines do roles in Math & STEM ask for?

Expert fieldOpen rolesShare of its open roles
Mathematics & statistics
90
36.4%
Physics & astronomy
41
16.6%
Software & computer science
13
5.3%
Chemistry
9
3.6%
Biology & life sciences
6
2.4%
Engineering (non-software)
5
2.0%
Design & visual arts
3
1.2%
Education & teaching
3
1.2%
Finance, accounting & economics
3
1.2%
Writing, editing & journalism
3
1.2%
Humanities & social sciences
1
0.4%
Psychology & mental health
1
0.4%

Sample. 160 of the 247 roles in Math & STEM open on 18 Oct 2026 name an expert field in their title (64.8%); 12 expert fields are named.

A role counts for a field when its title names the profession or discipline; generic titles ('Expert', 'AI Tutor') name none. A role naming two fields counts for both.

Median pay needs at least 8 roles stating an hourly rate.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

Figure 11

What the descriptions ask for

Do roles in Math & STEM ask for degrees, credentials, experience or tests?

RequirementRolesShare of described roles
Mentions a PhD153
67.1%
Mentions a PhD or master's182
79.8%
Mentions any degree192
84.2%
Mentions a professional credential10
4.4%
States years of experience24
10.5%
Asks for 5 years or more2
0.9%
States weekly hours91
39.9%
Mentions an assessment or test65
28.5%
Mentions an AI-led or video interview7
3.1%
Mentions a background check1
0.4%

Sample. 228 roles in Math & STEM open on 18 Oct 2026 whose job board publishes a full description (AfterQuery, Anyone AI, Braintrust, Claru, Handshake AI, Invisible, Mercor, micro1, OpenTrain AI, Prolific, RemoExperts, Rise Data Labs, Scale AI Human Frontier Collective, Sovrano AI, SuperAnnotate (SME), Terac, TransPerfect DataForce, Turing, Vetto and Weekday), 92.3% of its open roles; 3,940 described roles across all AI training work.

A mention can be a requirement or a preference ('a PhD is a plus'): the figure counts both. The patterns are those of the requirements report.

Only some platforms publish full descriptions, so this figure describes their roles, not every platform's.

Source. AITraining.jobs Research, The Market for Math & STEM Work, live data.

For labs, data vendors and researchers

Buy the data behind this report

The figures above are a summary. Behind them are records we collect ourselves, every day:

  • 10,301 roles tracked, each with its history

    Every role on 36 job boards, read daily since 13 Jul 2026: its pay and place, and the first and last day it was open.

  • 7,464 apply clicks in 28 days

    Which roles people actually apply to, by field, pay and kind of work. It happens on this site, so nobody else can count it.

  • 39 lab and vendor hiring boards

    The job boards of 25 AI labs and 14 human-data vendors, read every day: who is hiring for human data, and who is hiring to buy it.

What you can buy

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Method and definitions

The public job boards of the AI training platforms this site tracks, read every day. Apply clicks are made on AITraining.jobs; full descriptions come from the platforms whose boards publish them. Every figure is computed by one database query over the window shown, the same query for the live report and for every edition. Each figure states its sample beneath it.

Kind of work
Each role is classified from its title and description into one of the twelve kinds of AI training work this site tracks; this report counts the roles classified as Math & STEM.
Fixed panel
The platforms already tracked when the weekly series opens. The index follows their open roles, so a platform added later (such as OpenTrain AI and Welo Data in September 2026) never reads as growth.
Index
The panel's average open roles in a week, divided by the same in the base week, times 100; shown beside the same index for all AI training work on the same platforms.
Open role
A role listed by a given day and still in its platform's feed that day.
New listing
A role that first appeared during the window on a platform already tracked before that week. A platform's first week in this dataset is its back catalogue and is not counted as new.
Removed listing
A role that left its platform's feed during the window.
Days listed
From a removed role's listing date to the last day it was seen in its feed. A median needs at least 10 removed roles.
HHI
Herfindahl-Hirschman Index: the sum of every platform's squared percentage share of open roles, 0 to 10,000. Under 1,500 unconcentrated, 1,500 to 2,500 moderately, above 2,500 highly concentrated.
Advertised pay
The hourly figure a posting states (the middle of a stated range). Medians need at least 8 roles stating a rate; the middle half runs from the 25th to the 75th percentile.
Clicks per open role a week
Apply clicks on AITraining.jobs on a specific role, divided by the days the roles were open, times 7.
Demand index
Clicks per open role a week divided by the same rate across every role on the site. Above 1, the roles draw more applicants than the average role.
Listing age
When a role was listed relative to the window's first day: during the window, up to 4 weeks before it, 4 to 12 weeks before or longer. The listing date is the job board's posting date, or else the first day the role appeared in the feed.
Location rule
Read from each posting's location text and, where that names no country, from what the posting's own description states: open worldwide, worldwide except listed countries, only listed countries, or no rule stated.
Open to a country
A role is open to residents of a country if it is open worldwide, its list names the country, or its exclusion list does not. The 20 countries compared are the same in every report of the series.
Window
Live: the last 28 complete days, in UTC, and the last twelve complete ISO weeks (from the week of 3 Aug 2026 at the earliest) for the weekly series. Edition: one calendar month, in UTC, and its weeks.

What this data cannot tell you

  • Platforms that recruit without a public job board are not counted. Several large ones invite workers to projects directly.
  • A listing is not a hire. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
  • Apply clicks measure interest among the people who use AITraining.jobs, and what is shown first gets clicked more. Clicks are never published by platform.
  • Full descriptions are published by a few platforms only, so the requirements figure describes their roles and appears only when at least 10 roles of this kind are described.
  • A kind of work with few open roles gives figures that move with a handful of postings: rows on too little data are marked as a small sample.

How the job feeds are read and roles are classified: site methodology. How fresh, complete and consistent the data is, checked every day: data quality and coverage.

Editions

The live report covers the last 28 complete days and changes every day. Each complete month is also published as an edition, frozen two days after the month ends, so a figure you cite from an edition never moves.

Cite and reuse

Free to quote, chart and republish under CC BY 4.0 with a link to this page. Live figures change daily: cite a monthly edition for numbers that will read the same later, or keep the access date.

Citation

AITraining.jobs (2026). The Market for Math & STEM Work (live data, 21 Sep 2026 to 18 Oct 2026). https://www.aitraining.run/research/math-stem-ai-training-market (accessed 19 Oct 2026)

BibTeX

@misc{aitrainingjobs_math_stem_ai_training_market_live,
  author = {{AITraining.jobs}},
  title = {The Market for Math & STEM Work (live data, 21 Sep 2026 to 18 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://www.aitraining.run/research/math-stem-ai-training-market}},
  note = {Accessed 19 Oct 2026},
}
Data: every figure as CSV (one line per value) and JSON, sent to your work email.Pay and open-roles data

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