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Research report ยท August 2026 edition

The Expert Scarcity Index for AI Training

On 31 Aug 2026, Voice acting, music & sound was the hardest expert field to recruit for AI training work (scarcity index 1.14x, 1.00 = the market) and Multilingual & Localization the hardest kind of work (1.59x); 1 group was scarcer than the market on all three measures: applicants per opening, time to close and pay.

Read the month's story: The AI Training Job Market in August 2026

Data window
1 Aug 2026 to 31 Aug 2026
31 days, UTC
Frozen
11 Oct 2026, 08:09 UTC
These figures will not change
Source
The public job boards of the AI training platforms this site tracks, read every day, and the apply clicks people make on AITraining.jobs. Fields and languages are read from role titles.
Method
Version 1. 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

    Voice acting, music & sound is the hardest expert field to staff, with a scarcity index of 1.14x (1.00 is the market): its roles draw 0.41x the market's apply clicks per open role, its listings came down 9% less often than other roles of the same age on the same platforms, and it advertises $36/hr, 45% below the market median of $65/hr.

    Figure 1
  2. 2

    Multilingual & Localization is the hardest kind of work to staff, with a scarcity index of 1.59x (1.00 is the market): its roles draw 0.58x the market's apply clicks per open role, its listings came down 57% less often than other roles of the same age on the same platforms, and it advertises $65/hr, the market median.

    Figure 3
  3. 3

    1 of the 8 groups with enough data is scarcer than the market on all three measures (fewer applicants per opening, slower to close than their platforms' other roles, and paid above the market): Law, Medicine & Finance (1.20x).

    Figure 5
  4. 4

    At the other end, Software & computer science (expert field) is the easiest to staff, with an index of 0.87x: its roles draw 1.52x the market's apply clicks per open role, its listings came down 1% less often than other roles of the same age on the same platforms, and it advertises $65/hr, the market median.

    Figure 4
  5. 5

    Against their own platforms, roles in Multilingual & Localization stay up longest: 7 came down where 16 would have at their platforms' pace.

    Figure 4
  6. 6

    Finance, accounting & economics, the best-paid expert field with enough data ($80/hr, 1.23x the market median), draws 0.87x the market's apply clicks per open role, so its scarcity index is 1.06x.

    Figure 1
  7. 7

    8 of the 69 fields, languages and kinds of work listed have enough data on all three measures to be ranked; the rest are shown and marked as small samples.

    Figure 4

Figure 1

Scarcity by expert field

Which professions and disciplines are hardest to recruit for AI training work?

Expert fieldScarcity indexApplicant shortfallSlow closingPay premium
All roles (the market)
1.00x
1.00x1.00x1.00x
Voice acting, music & sound
1.14x
2.44x1.10x0.55x
Finance, accounting & economics
1.06x
1.16x0.83x1.23x
Software & computer science
0.87x
0.66x1.01x1.00x
Psychology & mental healthSmall sample
3.23x
5.00x5.00x1.35x
Biology & life sciencesSmall sample
2.27x
3.55x2.67x1.23x
Medicine & nursingSmall sample
1.97x
3.05x2.03x1.23x
ChemistrySmall sample
1.80x
5.00x1.08x1.08x
Humanities & social sciencesSmall sample
1.74x
1.05x5.00x1.00x
LawSmall sample
1.69x
2.39x1.19x1.69x
Physics & astronomySmall sample
1.35x
1.44x0.97x1.77x
Business, sales & consultingSmall sample
1.08x
1.30x0.82x1.19x
Education & teachingSmall sample
0.95x
0.74x1.17x1.00x
Mathematics & statisticsSmall sample
0.94x
1.07x0.76x1.00x
Design & visual artsSmall sample
0.85x
0.44x1.38x1.00x
Engineering (non-software)Small sample
0.84x
0.98x0.50x1.19x
Writing, editing & journalismSmall sample
0.61x
0.28x0.93x0.85x
Trust, safety & child protectionSmall sample
n/a
0.39xn/an/a

Sample. 17 expert fields named in the titles of roles open at the end of 31 Aug 2026; apply clicks from 1 Aug 2026 to 31 Aug 2026; listing lifetimes of the 713 roles listed from 3 Aug 2026 to 31 Aug 2026.

Scarcity index: the geometric mean of the three ratios beside it, each held between 0.20 and 5.00 so one extreme reading cannot decide it alone. 1.00 is the average role; above 1, harder to staff.

Applicant shortfall: the apply clicks the group's roles would have drawn at the market's rate per open role, over the clicks they drew from 1 Aug 2026 to 31 Aug 2026 (one over the demand index). Above 1, fewer applicants per opening than the market.

Slow closing: the removals expected if each of the group's roles listed from 3 Aug 2026 to 31 Aug 2026 had come down at its own platform's pace for a role of the same age (its Kaplan-Meier hazard), over the removals seen by the end of 31 Aug 2026. Above 1, its roles stay up longer than other roles on the same platforms. It is read against the same platforms because how long a listing stays up depends first on how its platform posts.

Pay premium: the median advertised hourly rate of the group's roles open at the end of 31 Aug 2026 over the median of every open role stating one ($65/hr).

A row is ranked only when its roles would have drawn at least 30 clicks at the market's rate, at least 10 removals were expected, at least 8 of its open roles state an hourly rate and at least 10 are open; otherwise it is marked as a small sample. A ratio capped at 5.00 means no click, or no removal, was recorded.

A role counts for an expert field when its title names it (whole words, the vocabulary of the expert fields report), and counts for each one it names. Titles that name none are not counted.

Source. AITraining.jobs Research, The Expert Scarcity Index for AI Training, August 2026 edition.

Figure 2

Scarcity by language

Which languages are hardest to recruit for AI training work?

LanguageScarcity indexApplicant shortfallSlow closingPay premium
All roles (the market)
1.00x
1.00x1.00x1.00x
DutchSmall sample
2.77x
5.00x5.00x0.85x
ThaiSmall sample
2.13x
5.00x5.00x0.38x
FrenchSmall sample
1.70x
2.69x1.83x1.00x
RussianSmall sample
1.59x
1.04x5.00x0.77x
KoreanSmall sample
1.58x
5.00x1.42x0.56x
SwedishSmall sample
1.54x
5.00x0.79x0.92x
NorwegianSmall sample
1.53x
0.85x5.00x0.84x
Chinese (Mandarin)Small sample
1.37x
5.00x0.92x0.56x
SpanishSmall sample
1.34x
5.00x0.48x1.00x
GermanSmall sample
1.32x
1.29x1.77x1.00x
JapaneseSmall sample
1.24x
5.00x0.57x0.67x
ItalianSmall sample
1.17x
2.01x0.92x0.87x
VietnameseSmall sample
1.10x
5.00x0.61x0.43x
IndonesianSmall sample
1.06x
2.25x0.54x1.00x
PortugueseSmall sample
0.96x
1.91x0.46x1.00x
EnglishSmall sample
0.83x
0.72x1.15x0.69x
HindiSmall sample
0.78x
1.00x0.47x1.00x
ArabicSmall sample
0.77x
0.54x1.41x0.62x
BengaliSmall sample
n/a
3.44x5.00xn/a
TeluguSmall sample
n/a
3.86x5.00xn/a
DanishSmall sample
n/a
5.00x5.00xn/a
HebrewSmall sample
n/a
5.00x1.49xn/a
MarathiSmall sample
n/a
2.82xn/an/a
TamilSmall sample
n/a
1.41x5.00xn/a
CzechSmall sample
n/a
5.00x5.00xn/a
FinnishSmall sample
n/a
5.00x5.00xn/a
HungarianSmall sample
n/a
5.00x5.00xn/a
PolishSmall sample
n/a
2.24x5.00xn/a
PunjabiSmall sample
n/a
0.58x5.00xn/a
TurkishSmall sample
n/a
0.50x0.61xn/a
UkrainianSmall sample
n/a
1.98xn/an/a
UrduSmall sample
n/a
0.52x5.00xn/a
CatalanSmall sample
n/a
5.00x5.00xn/a
RomanianSmall sample
n/a
5.00xn/an/a
SlovakSmall sample
n/a
1.40x5.00xn/a
BulgarianSmall sample
n/a
0.31x5.00xn/a
Filipino (Tagalog)Small sample
n/a
5.00xn/an/a
GreekSmall sample
n/a
5.00x5.00xn/a
LithuanianSmall sample
n/a
5.00x0.20xn/a
MalaySmall sample
n/a
1.51xn/an/a

Sample. 40 languages named in the titles of roles open at the end of 31 Aug 2026 (the 40 with the most open roles); apply clicks from 1 Aug 2026 to 31 Aug 2026; listing lifetimes of the 713 roles listed from 3 Aug 2026 to 31 Aug 2026.

Scarcity index: the geometric mean of the three ratios beside it, each held between 0.20 and 5.00 so one extreme reading cannot decide it alone. 1.00 is the average role; above 1, harder to staff.

Applicant shortfall: the apply clicks the group's roles would have drawn at the market's rate per open role, over the clicks they drew from 1 Aug 2026 to 31 Aug 2026 (one over the demand index). Above 1, fewer applicants per opening than the market.

Slow closing: the removals expected if each of the group's roles listed from 3 Aug 2026 to 31 Aug 2026 had come down at its own platform's pace for a role of the same age (its Kaplan-Meier hazard), over the removals seen by the end of 31 Aug 2026. Above 1, its roles stay up longer than other roles on the same platforms. It is read against the same platforms because how long a listing stays up depends first on how its platform posts.

Pay premium: the median advertised hourly rate of the group's roles open at the end of 31 Aug 2026 over the median of every open role stating one ($65/hr).

A row is ranked only when its roles would have drawn at least 30 clicks at the market's rate, at least 10 removals were expected, at least 8 of its open roles state an hourly rate and at least 10 are open; otherwise it is marked as a small sample. A ratio capped at 5.00 means no click, or no removal, was recorded.

A role counts for a language when its title names it (whole words, the vocabulary of the languages report), and counts for each one it names. Titles that name none are not counted.

Visitors are shown the roles open in their country first, which lowers the clicks on roles limited to a few countries, as many language roles are.

Source. AITraining.jobs Research, The Expert Scarcity Index for AI Training, August 2026 edition.

Figure 3

Scarcity by kind of work

Which kinds of AI training work are hardest to staff?

Kind of workScarcity indexApplicant shortfallSlow closingPay premium
All roles (the market)
1.00x
1.00x1.00x1.00x
Multilingual & Localization
1.59x
1.71x2.34x1.00x
Law, Medicine & Finance
1.20x
1.44x1.01x1.19x
Math & STEM
1.01x
1.25x0.82x1.00x
AI Evaluation & Rating (RLHF)
0.95x
0.81x0.92x1.15x
Coding & Software Evaluation
0.90x
0.64x1.06x1.08x
Red-Teaming & AI SafetySmall sample
2.40x
3.28x5.00x0.85x
Transcription, Audio & SpeechSmall sample
0.91x
1.05x1.30x0.55x
Agentic Tasks & RL EnvironmentsSmall sample
0.75x
0.55x0.98x0.77x
Robotics & Physical-AI DataSmall sample
0.73x
0.39x5.00x0.20x
Writing & ContentSmall sample
0.39x
0.20x0.40x0.73x
Data Annotation & LabelingSmall sample
0.29x
0.20x0.46x0.27x
Research Studies & SurveysSmall sample
n/a
0.30x1.84xn/a

Sample. 12 kinds of work with roles open at the end of 31 Aug 2026; apply clicks from 1 Aug 2026 to 31 Aug 2026; listing lifetimes of the 713 roles listed from 3 Aug 2026 to 31 Aug 2026.

Scarcity index: the geometric mean of the three ratios beside it, each held between 0.20 and 5.00 so one extreme reading cannot decide it alone. 1.00 is the average role; above 1, harder to staff.

Applicant shortfall: the apply clicks the group's roles would have drawn at the market's rate per open role, over the clicks they drew from 1 Aug 2026 to 31 Aug 2026 (one over the demand index). Above 1, fewer applicants per opening than the market.

Slow closing: the removals expected if each of the group's roles listed from 3 Aug 2026 to 31 Aug 2026 had come down at its own platform's pace for a role of the same age (its Kaplan-Meier hazard), over the removals seen by the end of 31 Aug 2026. Above 1, its roles stay up longer than other roles on the same platforms. It is read against the same platforms because how long a listing stays up depends first on how its platform posts.

Pay premium: the median advertised hourly rate of the group's roles open at the end of 31 Aug 2026 over the median of every open role stating one ($65/hr).

A row is ranked only when its roles would have drawn at least 30 clicks at the market's rate, at least 10 removals were expected, at least 8 of its open roles state an hourly rate and at least 10 are open; otherwise it is marked as a small sample. A ratio capped at 5.00 means no click, or no removal, was recorded.

Every role is classified into one kind of work.

Source. AITraining.jobs Research, The Expert Scarcity Index for AI Training, August 2026 edition.

Figure 4

What each scarcity index is made of

What applicant interest, listing lifetime and pay lie behind each group's scarcity index?

GroupOpen on 31 Aug 2026Clicks per open role a weekMedian advertised payMedian days listedScarcity index
All roles1,5900.08$65n/a1.00x
Multilingual & Localization4320.05$65n/a1.59x
Law, Medicine & Finance4300.05$78n/a1.20x
Math & STEM1580.06$65n/a1.01x
AI Evaluation & Rating (RLHF)2190.10$7521.00.95x
Coding & Software Evaluation1260.12$7027.30.90x
Red-Teaming & AI SafetySmall sample160.02$55n/a2.40x
Transcription, Audio & SpeechSmall sample1220.08$36n/a0.91x
Agentic Tasks & RL EnvironmentsSmall sample170.14$507.30.75x
Robotics & Physical-AI DataSmall sample170.20$13n/a0.73x
Writing & ContentSmall sample170.46$4811.40.39x
Data Annotation & LabelingSmall sample300.40$18n/a0.29x
Research Studies & SurveysSmall sample60.27n/an/an/a
Voice acting, music & sound720.03$36n/a1.14x
Finance, accounting & economics910.07$80n/a1.06x
Software & computer science1080.12$658.30.87x
Psychology & mental healthSmall sample130.00$88n/a3.23x
Biology & life sciencesSmall sample350.02$80n/a2.27x
Medicine & nursingSmall sample720.03$80n/a1.97x
ChemistrySmall sample170.01$70n/a1.80x
Humanities & social sciencesSmall sample290.08$65n/a1.74x
LawSmall sample910.03$110n/a1.69x
Physics & astronomySmall sample220.06$115n/a1.35x
Business, sales & consultingSmall sample720.06$78n/a1.08x
Education & teachingSmall sample250.11$65n/a0.95x
Mathematics & statisticsSmall sample330.07$65n/a0.94x
Design & visual artsSmall sample380.18$65n/a0.85x
Engineering (non-software)Small sample470.08$78n/a0.84x
Writing, editing & journalismSmall sample350.28$55n/a0.61x
Trust, safety & child protectionSmall sample90.21n/an/an/a
DutchSmall sample180.01$55n/a2.77x
ThaiSmall sample120.00$25n/a2.13x
FrenchSmall sample370.03$65n/a1.70x
RussianSmall sample140.08$50n/a1.59x
KoreanSmall sample270.02$37n/a1.58x
SwedishSmall sample100.00$60n/a1.54x
NorwegianSmall sample80.09$54n/a1.53x
Chinese (Mandarin)Small sample310.01$37n/a1.37x
SpanishSmall sample260.01$65n/a1.34x
GermanSmall sample290.06$65n/a1.32x
JapaneseSmall sample230.01$44n/a1.24x
ItalianSmall sample160.04$56n/a1.17x
VietnameseSmall sample160.01$28n/a1.10x
IndonesianSmall sample110.04$65n/a1.06x
PortugueseSmall sample190.04$65n/a0.96x
EnglishSmall sample570.11$45n/a0.83x
HindiSmall sample170.08$65n/a0.78x
ArabicSmall sample350.15$40n/a0.77x
BengaliSmall sample110.02n/an/an/a
TeluguSmall sample110.02n/an/an/a
DanishSmall sample80.00n/an/an/a
HebrewSmall sample80.00n/an/an/a
MarathiSmall sample80.03n/an/an/a
TamilSmall sample80.06n/an/an/a
CzechSmall sample70.00n/an/an/a
FinnishSmall sample70.00n/an/an/a
HungarianSmall sample70.00n/an/an/a
PolishSmall sample60.04n/an/an/a
PunjabiSmall sample60.14n/an/an/a
TurkishSmall sample60.16n/an/an/a
UkrainianSmall sample60.04n/an/an/a
UrduSmall sample60.15n/an/an/a
CatalanSmall sample50.00n/an/an/a
RomanianSmall sample50.00n/an/an/a
SlovakSmall sample50.06n/an/an/a
BulgarianSmall sample40.25n/an/an/a
Filipino (Tagalog)Small sample40.00n/an/an/a
GreekSmall sample40.00n/an/an/a
LithuanianSmall sample40.00n/an/an/a
MalaySmall sample40.05n/an/an/a

Sample. Every group in the three scarcity tables. Open roles and pay at the end of 31 Aug 2026; new listings and apply clicks from 1 Aug 2026 to 31 Aug 2026; lifetimes and removals over the 713 roles listed from 3 Aug 2026 to 31 Aug 2026, back catalogues left out.

Clicks per open role a week: apply clicks on AITraining.jobs over the days the group's roles were open, times 7. Demand index: that rate over the market's (0.08).

Median days listed: the Kaplan-Meier median from the listing date to the last sighting, as in the listing-lifetime report (n/a when more than half of the group's roles are still listed at the oldest age it can be read at, or fewer than 10 were listed that long ago). It mixes how each platform posts with how fast roles fill, so the index uses the removals against the same platforms' pace instead.

Removed: roles of the cohort that came down. Expected: the removals the same roles would have had at their platforms' hazard for each age; over all roles the two are equal.

Median advertised pay: the hourly figure postings state (the middle of a stated range), shown with at least 8 roles stating one.

Source. AITraining.jobs Research, The Expert Scarcity Index for AI Training, August 2026 edition.

Figure 5

Hardest to staff: scarcer than the market on every measure

Which expertise is short of applicants, slow to close and paid above the market, all at once?

GroupScarcity indexApplicant shortfallSlow closingPay premium
Law, Medicine & Finance
1.20x
1.44x1.01x1.19x

Sample. 1 of the 8 fields, languages and kinds of work with enough data on every measure, at the end of 31 Aug 2026.

Listed when all three ratios are above 1.00: fewer applicants per opening than the market, roles staying up longer than other roles on the same platforms, and a median advertised rate above the market's.

A role can count for a field, a language and a kind of work at once, so one set of roles can appear on several rows.

Source. AITraining.jobs Research, The Expert Scarcity Index for AI Training, August 2026 edition.

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Method and definitions

The public job boards of the AI training platforms this site tracks, read every day, and the apply clicks people make on AITraining.jobs. Fields and languages are read from role titles. 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.

Scarcity index
The geometric mean of the applicant shortfall, the slow-closing ratio and the pay premium, each held between 0.2 and 5 so one extreme reading cannot decide it alone. 1.00 is the average AI training role; above 1, the group is harder to staff.
Applicant shortfall
The apply clicks a group's roles would have drawn at the market's rate per open role, divided by the clicks they drew in the window: one over the demand index. Above 1, fewer applicants per opening than the market.
Slow closing
For every role listed in the last 26 weeks (from 3 Aug 2026 at the earliest; back catalogues left out), the chance it comes down at each age is read from its own platform's Kaplan-Meier curve; summed over the group's roles, that gives the removals expected at its platforms' pace. Slow closing is expected removals over removals seen. Above 1, the group's roles stay listed longer than other roles of the same age on the same platforms.
Pay premium
The median advertised hourly rate of the group's open roles over the median of every open role stating one. Needs at least 8 roles stating a rate.
Median days listed
The Kaplan-Meier median from the listing date to the last sighting, as in the listing-lifetime report. Published beside the index; not part of it, because it depends first on how each platform posts.
Ranked
A group is ranked when its roles would have drawn at least 30 clicks at the market's rate, at least 10 removals were expected, at least 8 of its open roles state an hourly rate and at least 10 are open. Other groups are shown and marked as small samples.
Expert field and language
Named in a role's title, matched as whole words with the vocabularies of the expert fields and languages reports. A role naming two counts for both.
Open role
A role listed by a given day and still in its platform's feed that day.
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. Every kind links to its own page.
Window
Live: the last 28 complete days, in UTC, with listing lifetimes over every role listed in the 26 weeks to the same end (from 3 Aug 2026 at the earliest). Edition: one calendar month, with lifetimes over every role listed in the 26 weeks to its end, followed to its end.

What this data cannot tell you

  • Applicant interest is measured among the people who use AITraining.jobs, not across the market, and what is shown first gets clicked more: each visitor sees the roles open in their country first, which lowers the clicks on roles limited to a few countries, as many language roles are.
  • A listing coming down is not a hire: a role can close because it filled, because the project ended or because the platform re-posts it. Reading it against the same platforms removes each platform's posting habits, not the reasons a particular role closed.
  • Pay is what postings advertise, not what workers earn, and part of a gap between groups is where they hire: many platforms set lower rates in lower-cost countries.
  • Generic titles hide the field or language of many roles, so a group's counts are a floor; a role can count for a field, a language and a kind of work at once.
  • Platforms that recruit without a public job board are not counted.

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. This edition is frozen, so its figures will read the same later.

Citation

AITraining.jobs (2026). The Expert Scarcity Index for AI Training, August 2026 edition. https://www.aitraining.team/research/expert-scarcity-index/2026-08

BibTeX

@misc{aitrainingjobs_expert_scarcity_index_2026_08,
  author = {{AITraining.jobs}},
  title = {The Expert Scarcity Index for AI Training, August 2026 edition},
  year = {2026},
  howpublished = {\url{https://www.aitraining.team/research/expert-scarcity-index/2026-08}},
}
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