Key findings
- 1
Languages and translation (18%), Software and IT (16%) and Data and AI work (16%) are the largest fields among the 7,850 people looking for AI training work on AITraining.jobs.
- 3
Members in health and medicine most often hold a licence or a doctorate (66% of those whose credential is known), and members in software and IT least often (6%).
- 4
905 of the members (12%) are in the United States, 178 of them with a licence or a doctorate; most work in software and IT, health and medicine and data and AI work.
- 5
The most members are in India (1,431), the United States (883), Brazil (403), the Philippines (359) and Spain (343), of 143 countries.
Figure 1
People looking for AI training work, by field
In which fields do the people looking for AI training work have their experience?
| Field | Members | Share | Licence or doctorate |
|---|---|---|---|
| Languages and translation | 1,397 | 17.8% | 11.9% |
| Software and IT | 1,263 | 16.1% | 6.0% |
| Data and AI work | 1,231 | 15.7% | 9.1% |
| Health and medicine | 733 | 9.3% | 66.3% |
| Science, math and engineering | 635 | 8.1% | 32.6% |
| Business and management | 587 | 7.5% | 7.4% |
| Design, arts and audio | 528 | 6.7% | 8.6% |
| Finance and accounting | 408 | 5.2% | 20.9% |
| Admin, support and service | 257 | 3.3% | 8.5% |
| Writing and media | 228 | 2.9% | 9.8% |
| Teaching | 221 | 2.8% | 21.3% |
| Law | 172 | 2.2% | 47.9% |
| Trades and operations | 101 | 1.3% | 8.9% |
| Not stated | 89 | 1.1% | 16.0% |
Sample. 7,850 people with a profile on AITraining.jobs by the end of 26 Oct 2026.
A member's field is the field of the best fit their profile reading names (the reading the site makes of their LinkedIn profile, their CV or their own words, kept with their profile); a profile it could not place is Not stated.
Licence or doctorate: the share holding a professional licence or a research doctorate, of the members whose credential is known (what they stated, else what the candidate pool or their profile shows).
Rows with fewer than 6.8 members whose credential is known are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own members whose credential is known (the weight fitted on the rows' own counts).
No count below 3 people is shown, nor any share that would reveal one, so no figure can point at a person; a group too small to show on its own is counted in "Other".
Source. AITraining.jobs Research, Who Looks for AI Training Work, live data.
Figure 2
The highest credential they hold
How many of the people looking for AI training work hold a professional licence, a doctorate or a master's degree?
| Highest credential | Members | Share of members | Share where known |
|---|---|---|---|
| Licensed professional | 598 | 7.6% | 14.5% |
| PhD or doctorate | 224 | 2.9% | 5.4% |
| Master's degree | 1,063 | 13.5% | 25.8% |
| None of these | 2,241 | 28.5% | 54.3% |
| Not known | 3,724 | 47.4% | n/a |
Sample. 7,850 people with a profile on AITraining.jobs by the end of 26 Oct 2026; 4,126 of them with a known credential.
Each member counts once, at the highest they hold: a professional licence (to practise as a physician, nurse, lawyer, pharmacist, psychologist, accountant, engineer and the like), then a research doctorate, then a master's degree.
A credential is what the member stated on the site, else what they gave the candidate pool, else what their profile shows; Not known is a member for whom none of these says.
No count below 3 people is shown, nor any share that would reveal one, so no figure can point at a person; a group too small to show on its own is counted in "Other".
Source. AITraining.jobs Research, Who Looks for AI Training Work, live data.
Figure 3
Credentials by field
In each field, how many of the people looking for the work hold a licence, a doctorate or a master's?
| Field | Licence | Doctorate | Master's | None of these |
|---|---|---|---|---|
| Languages and translation | 8.6% | 3.3% | 27.8% | 60.3% |
| Software and IT | 3.9% | 2.0% | 25.4% | 68.7% |
| Data and AI work | 6.0% | 3.1% | 27.3% | 63.6% |
| Health and medicine | 60.2% | 6.1% | 13.1% | 20.6% |
| Science, math and engineering | 5.3% | 27.3% | 29.4% | 38.0% |
| Business and management | 6.5% | 0.9% | 35.2% | 57.4% |
| Design, arts and audio | 5.9% | 2.7% | 17.3% | 74.1% |
| Finance and accounting | 17.2% | 3.7% | 32.0% | 47.1% |
| Admin, support and service | 8.5% | 0.0% | 14.9% | 76.6% |
| Writing and media | 6.3% | 3.6% | 37.5% | 52.7% |
| Teaching | 13.4% | 7.9% | 40.2% | 38.6% |
| Law | 42.1% | 5.8% | 21.5% | 30.6% |
| Trades and operations | n/a | n/a | 17.9% | 73.2% |
| Not stated | n/a | n/a | 21.3% | 62.7% |
Sample. Members whose credential is known, people with a profile on AITraining.jobs by the end of 26 Oct 2026; shares of each field's own.
Each row adds up to 100% of the members of that field whose credential is known.
Rows with fewer than 6.8 members whose credential is known are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own members whose credential is known (the weight fitted on the rows' own counts).
No count below 3 people is shown, nor any share that would reveal one, so no figure can point at a person; a group too small to show on its own is counted in "Other".
Source. AITraining.jobs Research, Who Looks for AI Training Work, live data.
Figure 4
People in the US looking for AI training work, by field
Which fields do the people in the United States who look for AI training work come from, and how many hold a licence or a doctorate?
| Field | Members in the US | With a licence or doctorate |
|---|---|---|
| Software and IT | 182 | 9 |
| Health and medicine | 114 | 70 |
| Data and AI work | 101 | 10 |
| Languages and translation | 99 | 13 |
| Business and management | 85 | 3 |
| Science, math and engineering | 76 | 29 |
| Finance and accounting | 73 | 10 |
| Design, arts and audio | 51 | n/a |
| Law | 35 | 20 |
| Writing and media | 29 | n/a |
| Teaching | 20 | 7 |
| Trades and operations | 18 | n/a |
| Admin, support and service | 14 | n/a |
| Not stated | 8 | n/a |
Sample. 905 of the 7,850 people with a profile on AITraining.jobs by the end of 26 Oct 2026 are in the United States.
A member is in the US when the country their profile or the pool gives is the United States, a US state is known for them, or, with no country known, their profile reading places them there.
Rows with fewer than 3.3 members whose credential is known are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own members whose credential is known (the weight fitted on the rows' own counts).
No count below 3 people is shown, nor any share that would reveal one, so no figure can point at a person; a group too small to show on its own is counted in "Other".
Source. AITraining.jobs Research, Who Looks for AI Training Work, live data.
Figure 5
Where they are
In which countries are the people looking for AI training work?
| Country | Members | Share |
|---|---|---|
| India | 1,431 | 18.2% |
| United States | 883 | 11.2% |
| Brazil | 403 | 5.1% |
| Philippines | 359 | 4.6% |
| Spain | 343 | 4.4% |
| United Kingdom | 336 | 4.3% |
| Egypt | 279 | 3.6% |
| Canada | 264 | 3.4% |
| Mexico | 212 | 2.7% |
| South Africa | 207 | 2.6% |
| Ireland | 200 | 2.5% |
| Germany | 165 | 2.1% |
| Nigeria | 160 | 2.0% |
| Tรผrkiye | 160 | 2.0% |
| Indonesia | 156 | 2.0% |
| Australia | 149 | 1.9% |
| Bangladesh | 135 | 1.7% |
| France | 131 | 1.7% |
| Italy | 127 | 1.6% |
| Kenya | 127 | 1.6% |
| Romania | 124 | 1.6% |
| Pakistan | 120 | 1.5% |
| Netherlands | 88 | 1.1% |
| PolandSmall sample | 64 | 0.8% |
| ArgentinaSmall sample | 63 | 0.8% |
| New ZealandSmall sample | 48 | 0.6% |
| VietnamSmall sample | 44 | 0.6% |
| PortugalSmall sample | 42 | 0.5% |
| ColombiaSmall sample | 41 | 0.5% |
| EthiopiaSmall sample | 37 | 0.5% |
| JapanSmall sample | 36 | 0.5% |
| TunisiaSmall sample | 27 | 0.3% |
| MalaysiaSmall sample | 26 | 0.3% |
| UkraineSmall sample | 26 | 0.3% |
| United Arab EmiratesSmall sample | 24 | 0.3% |
| GeorgiaSmall sample | 23 | 0.3% |
| GreeceSmall sample | 23 | 0.3% |
| MoroccoSmall sample | 23 | 0.3% |
| Sri LankaSmall sample | 22 | 0.3% |
| VenezuelaSmall sample | 22 | 0.3% |
| SwedenSmall sample | 21 | 0.3% |
| GhanaSmall sample | 20 | 0.3% |
| ThailandSmall sample | 20 | 0.3% |
| AlgeriaSmall sample | 19 | 0.2% |
| CameroonSmall sample | 17 | 0.2% |
| Dominican RepublicSmall sample | 17 | 0.2% |
| JordanSmall sample | 17 | 0.2% |
| ChileSmall sample | 16 | 0.2% |
| Saudi ArabiaSmall sample | 16 | 0.2% |
| LithuaniaSmall sample | 15 | 0.2% |
| EcuadorSmall sample | 14 | 0.2% |
| CroatiaSmall sample | 14 | 0.2% |
| South KoreaSmall sample | 14 | 0.2% |
| SwitzerlandSmall sample | 13 | 0.2% |
| FinlandSmall sample | 13 | 0.2% |
| PeruSmall sample | 13 | 0.2% |
| Costa RicaSmall sample | 12 | 0.2% |
| KazakhstanSmall sample | 12 | 0.2% |
| LatviaSmall sample | 12 | 0.2% |
| SerbiaSmall sample | 12 | 0.2% |
| SingaporeSmall sample | 12 | 0.2% |
| AustriaSmall sample | 11 | 0.1% |
| BulgariaSmall sample | 11 | 0.1% |
| HungarySmall sample | 11 | 0.1% |
| AzerbaijanSmall sample | 10 | 0.1% |
| CzechiaSmall sample | 10 | 0.1% |
| IsraelSmall sample | 10 | 0.1% |
| LebanonSmall sample | 10 | 0.1% |
| UgandaSmall sample | 10 | 0.1% |
| Bosnia and HerzegovinaSmall sample | 9 | 0.1% |
| BelgiumSmall sample | 9 | 0.1% |
| ChinaSmall sample | 9 | 0.1% |
| MadagascarSmall sample | 9 | 0.1% |
| TaiwanSmall sample | 9 | 0.1% |
| ZimbabweSmall sample | 9 | 0.1% |
| EstoniaSmall sample | 8 | 0.1% |
| IranSmall sample | 8 | 0.1% |
| ZambiaSmall sample | 8 | 0.1% |
| BoliviaSmall sample | 7 | 0.1% |
| North MacedoniaSmall sample | 7 | 0.1% |
| NorwaySmall sample | 7 | 0.1% |
| NepalSmall sample | 7 | 0.1% |
| RussiaSmall sample | 7 | 0.1% |
| ArmeniaSmall sample | 6 | 0.1% |
| CyprusSmall sample | 6 | 0.1% |
| GuatemalaSmall sample | 6 | 0.1% |
| HaitiSmall sample | 6 | 0.1% |
| LesothoSmall sample | 6 | 0.1% |
| PanamaSmall sample | 6 | 0.1% |
| ParaguaySmall sample | 6 | 0.1% |
| SlovakiaSmall sample | 6 | 0.1% |
| El SalvadorSmall sample | 6 | 0.1% |
| TanzaniaSmall sample | 6 | 0.1% |
| IraqSmall sample | 5 | 0.1% |
| LuxembourgSmall sample | 5 | 0.1% |
| SloveniaSmall sample | 5 | 0.1% |
| UzbekistanSmall sample | 5 | 0.1% |
| AlbaniaSmall sample | 4 | 0.1% |
| BeninSmall sample | 4 | 0.1% |
| DR CongoSmall sample | 4 | 0.1% |
| DenmarkSmall sample | 4 | 0.1% |
| KuwaitSmall sample | 4 | 0.1% |
| MoldovaSmall sample | 4 | 0.1% |
| MontenegroSmall sample | 4 | 0.1% |
| SyriaSmall sample | 4 | 0.1% |
| Trinidad and TobagoSmall sample | 4 | 0.1% |
| UruguaySmall sample | 4 | 0.1% |
| AfghanistanSmall sample | 3 | 0.0% |
| BelarusSmall sample | 3 | 0.0% |
| Hong KongSmall sample | 3 | 0.0% |
| NamibiaSmall sample | 3 | 0.0% |
| PalestineSmall sample | 3 | 0.0% |
| QatarSmall sample | 3 | 0.0% |
| RwandaSmall sample | 3 | 0.0% |
| SenegalSmall sample | 3 | 0.0% |
| XKSmall sample | 3 | 0.0% |
| Other countries (27) | 34 | 0.4% |
| Not known | 4 | 0.1% |
Sample. 7,850 people with a profile on AITraining.jobs by the end of 26 Oct 2026, in 143 countries.
A member's country is the one their profile gives, else the candidate pool's, else their profile reading's, else the country they visit the site from.
Licence or doctorate is a share of the members whose credential is known; Already on a platform, of all the country's members.
Rows with fewer than 37.2 members whose credential is known are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own members whose credential is known (the weight fitted on the rows' own counts).
No count below 3 people is shown, nor any share that would reveal one, so no figure can point at a person; a group too small to show on its own is counted in "Other".
Source. AITraining.jobs Research, Who Looks for AI Training Work, live data.
Figure 6
How many AI training platforms they already work on
How many of the people looking for AI training work already work on an AI training platform, and on how many?
| Platforms they work on | Members | Share |
|---|---|---|
| None named | 6,404 | 81.6% |
| One | 701 | 8.9% |
| Two | 284 | 3.6% |
| Three | 156 | 2.0% |
| Four or more | 305 | 3.9% |
Sample. 7,850 people with a profile on AITraining.jobs by the end of 26 Oct 2026.
The platforms a member works or worked on, as their profile reading names them (a role or a project there, such as an AI trainer at a named platform) or as they told the site themselves.
None named is a member whose profile names no AI training platform: some of them work on one and did not say so.
Which platforms they work on is not published: how many people one platform has is that company's own business.
No count below 3 people is shown, nor any share that would reveal one, so no figure can point at a person; a group too small to show on its own is counted in "Other".
Source. AITraining.jobs Research, Who Looks for AI Training Work, live data.
Figure 7
How they describe their work
Do the people looking for AI training work show a LinkedIn profile, a CV or their own description?
| Profile read from | Members | Share | Licence or doctorate |
|---|---|---|---|
| Their LinkedIn profile | 2,272 | 28.9% | 16.7% |
| Their CV | 1,294 | 16.5% | 13.8% |
| Their own description | 4,284 | 54.6% | 28.7% |
Sample. 7,850 people with a profile on AITraining.jobs by the end of 26 Oct 2026.
A member gives the site one of the three when they make their profile; the site reads it to match them with roles.
No count below 3 people is shown, nor any share that would reveal one, so no figure can point at a person; a group too small to show on its own is counted in "Other".
Source. AITraining.jobs Research, Who Looks for AI Training Work, live data.
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Method and definitions
The profiles of the people looking for AI training work on AITraining.jobs (their LinkedIn profile, CV or own words, read by the site), the credentials they state or their profile shows, and the job alerts they subscribe to. 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.
- Member
- A person with a profile on AITraining.jobs by the window's end: someone looking for AI training work who gave the site their LinkedIn profile, their CV or their own description of their work.
- Field
- A member's field is the field of the best fit their profile reading names (software and IT, health and medicine, law, languages and translation, and the other groups the site's matching uses). A role is in a field when its title names one of the field's professions, by the rule the profession pages list roles with.
- Highest credential
- A professional licence (to practise as a physician, nurse, lawyer, pharmacist, psychologist, accountant, engineer and the like), else a research doctorate, else a master's degree, else none: what the member stated on the site, else what they gave the candidate pool, else what their profile shows. Not known when none of these says.
- No cell points at a person
- No count of fewer than 3 people is published, nor any share that would reveal one: with 3 or more, no one, not even a person counted, can tell who the others are. When one hidden cell could be worked out from a row's total, a second is hidden too.
- Window
- Live: members by the end of the last complete day, with those who joined in the last 28 complete days. Edition: members by the end of one calendar month.
What this data cannot tell you
- These are the people who use AITraining.jobs, not every person who does AI training work: the site's audience leans to the countries and fields it is found in.
- A profile reading can miss what a profile does not say, and a credential nobody states is Not known, never guessed.
- Which platforms members work on is counted but not published per platform: how many people one platform has is that company's own business.
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.
- Live data (this page)Last 28 complete days, recomputed daily
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). Who Looks for AI Training Work (live data, 29 Sep 2026 to 26 Oct 2026). https://aitraining.jobs/research/who-looks-for-ai-training-work (accessed 27 Oct 2026)
BibTeX
@misc{aitrainingjobs_who_looks_for_ai_training_work_live,
author = {{AITraining.jobs}},
title = {Who Looks for AI Training Work (live data, 29 Sep 2026 to 26 Oct 2026)},
year = {2026},
howpublished = {\url{https://aitraining.jobs/research/who-looks-for-ai-training-work}},
note = {Accessed 27 Oct 2026},
}More research
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