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Research report ยท October 2026 edition

How AI Training Roles Advertise Pay

On 31 Oct 2026, 81.4% of 4,383 open AI training roles stated an hourly rate, with a median of $40/hr and 44.5% at $50/hr or more.

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

Provisional figures. This month is complete, but late data can still arrive until 3 Nov 2026, when the edition is frozen for good.

Data window
1 Oct 2026 to 31 Oct 2026
31 days, UTC
Computed
2 Nov 2026, 02:57 UTC
Final once frozen
Source
The public job boards of the AI training platforms this site tracks, read every hour.
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

    81.4% of the 4,383 AI training roles open on 31 Oct 2026 stated an hourly rate; the rest left pay to a later step or paid per task or project.

    Figure 1
  2. 2

    Math & STEM roles stated a rate most often (91.5%), AI Evaluation & Rating (RLHF) roles least often (60.8%).

    Figure 1
  3. 3

    20 of the 62 platforms with enough open roles to read on their own stated a rate on every role; Sigma AI stated one on none of its 81 roles.

    Figure 2
  4. 4

    44.5% of roles that state a rate advertise $50/hr or more, and 14.5% advertise $100/hr or more.

    Figure 3
  5. 5

    On the platforms tracked throughout, the advertised median rose from $35/hr on 1 Oct 2026 to $35/hr on 31 Oct 2026 (0%).

    Figure 5
  6. 6

    The widest advertised ranges were in Multilingual & Localization (top 8.13x the bottom) and the narrowest in Agentic Tasks & RL Environments (1.33x).

    Figure 4

Figure 1

How often roles state an hourly rate, by kind of work

Which kinds of AI training work tell you what they pay before you apply?

Sample. 4,383 roles open on 31 Oct 2026; 3,567 state an hourly rate.

A role states pay when its posting gives an hourly figure or range. Roles paid per task or per project, or that state no figure, do not.

Rows with fewer than 15.5 open roles are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own open roles (the weight fitted on the rows' own counts).

Source. AITraining.jobs Research, How AI Training Roles Advertise Pay, October 2026 edition.

Figure 2

How often roles state an hourly rate, by platform

Which platforms publish their rates, and which leave pay until after you qualify?

PlatformRoles stating an hourly rateOpen roles
AfterQuery
100.0%
230
Aligned Labs
100.0%
15
Alignerr
100.0%
362
Anyone AI
100.0%
133
Claru
100.0%
60
DataAnnotation
100.0%
112
Edison Scientific
100.0%
1
Elsevier Health
100.0%
6
Fleet AI
100.0%
2
Headway
100.0%
1
Inworld AI
100.0%
1
Kastle
100.0%
1
OpenTrain AI
100.0%
40
PointClickCare
100.0%
1
Snorkel AI Expert Community
100.0%
1
SuperAnnotate (SME)
100.0%
379
Trellis
100.0%
1
Vals AI
100.0%
1
xAI (SpaceXAI)
100.0%
17
Handshake AI
99.5%
184
Invisible
99.2%
533
micro1
98.3%
302
RemoExperts
96.9%
32
RWS TrainAI Community
92.3%
143
Surge AI
92.3%
13
Volga Partners
91.5%
59
Innodata
90.3%
31
iMerit
88.9%
9
Mercor
84.9%
238
Weekday
82.4%
108
Prolific
82.3%
124
Welo Data
80.4%
184
TELUS Digital AI
77.6%
67
Rise Data Labs
75.9%
108
Braintrust
75.3%
77
Pila8
75.0%
4
Mindrift
66.7%
90
Remotasks
66.7%
3
Terac
59.5%
37
Sovrano AI
58.3%
36
Babel Audio
55.3%
47
Pasiflora AI
42.9%
7
Sama
33.3%
3
Scale AI Human Frontier Collective
30.0%
10
Cohere
25.0%
4
Lifted (Upwork)
20.0%
45
Turing
16.5%
176
Vetto
15.0%
20
Appen
11.9%
42
TransPerfect DataForce
9.1%
44
Outlier (Scale AI)
6.5%
46
OneForma
5.9%
17
Anthropic
0.0%
1
DATAmundi
0.0%
8
EvolutionIQ
0.0%
1
JazzX AI
0.0%
1
Limbic
0.0%
1
Mistral AI
0.0%
3
Perle Labs
0.0%
67
RealTrainAI
0.0%
4
Shaip (Collaborate by Shaip)
0.0%
9
Sigma AI
0.0%
81

Sample. 4,383 roles open on 31 Oct 2026.

No row with any open roles is a small sample: the rows differ so much that each reads on its own from its first.

Source. AITraining.jobs Research, How AI Training Roles Advertise Pay, October 2026 edition.

Figure 3

How advertised hourly rates are distributed

What share of AI training roles pay $50 an hour or more?

Advertised rateOpen rolesShare of priced roles
Under $15/hr247
6.9%
$15 to $25/hr379
10.6%
$25 to $35/hr425
11.9%
$35 to $50/hr927
26.0%
$50 to $75/hr523
14.7%
$75 to $100/hr548
15.4%
$100 to $150/hr335
9.4%
$150/hr or more183
5.1%

Sample. 3,567 roles open on 31 Oct 2026 that state an hourly rate.

Each role counts once, at the middle of its advertised range.

Source. AITraining.jobs Research, How AI Training Roles Advertise Pay, October 2026 edition.

Figure 4

How wide advertised pay ranges are, by kind of work

When a role gives a range, how far apart are the top and the bottom?

Kind of workTop of range / bottomMedian width
Multilingual & Localization
8.13x
$57
Math & STEM
8.13x
$57
Transcription, Audio & Speech
2.50x
$35
Coding & Software Evaluation
2.00x
$35
Law, Medicine & Finance
2.00x
$40
Red-Teaming & AI Safety
2.00x
$60
AI Evaluation & Rating (RLHF)
2.00x
$24
Robotics & Physical-AI Data
2.00x
$15
Writing & Content
2.00x
$40
Data Annotation & Labeling
1.76x
$20
Research Studies & Surveys
1.72x
$50
Agentic Tasks & RL Environments
1.33x
$15

Sample. Roles open on 31 Oct 2026 that state an hourly rate; medians over the roles that give a range (top above bottom).

A ratio of 2.00x means the top of a typical range is twice its bottom: where a worker lands inside it is decided after they qualify.

Medians need at least 3 roles giving a range.

Source. AITraining.jobs Research, How AI Training Roles Advertise Pay, October 2026 edition.

Figure 5

Change in the advertised median over the window

Are advertised rates for AI training work rising or falling?

Kind of workMedian on 1 Oct 2026Median on 31 Oct 2026Change
All kinds of work$35
$35
0.0%
Red-Teaming & AI Safety$40
$70
+75.0%
Agentic Tasks & RL Environments$60
$65
+8.3%
Transcription, Audio & Speech$30
$30
0.0%
Law, Medicine & Finance$75
$75
0.0%
Multilingual & Localization$35
$35
0.0%
Robotics & Physical-AI Data$20
$20
0.0%
Math & STEM$35
$35
0.0%
Research Studies & Surveys$75
$70
-6.7%
Coding & Software Evaluation$60
$55
-8.3%
Writing & Content$60
$55
-8.3%
Data Annotation & Labeling$30
$25
-16.7%
AI Evaluation & Rating (RLHF)$55
$45
-18.2%

Sample. Roles stating an hourly rate that were open at the start of 1 Oct 2026 and at the end of 31 Oct 2026, on the platforms tracked throughout.

The median moves when the mix of open roles changes as much as when rates change: it describes what is advertised, not a raise for any one role.

Medians need at least 3 priced roles at each end.

Source. AITraining.jobs Research, How AI Training Roles Advertise Pay, October 2026 edition.

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:

  • 11,485 roles tracked, each with its history

    Every role on 62 job boards, read since 13 Jul 2026 (every hour since 18 Oct 2026): its pay and place, and the first and last day it was open.

  • 61,239 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

  • The records

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Building AI and need the experts behind this data? (you contract them yourself) or (we deliver the expert work).

Investing in AI-data companies? Hiring radar is these records role by role, every day, as files.

Method and definitions

The public job boards of the AI training platforms this site tracks, read every hour. 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.

Stating pay
A role states pay when its posting gives an hourly figure or range. Per-task or per-project pay, and postings with no figure, do not count.
Advertised pay
The hourly figure a posting states (the middle of a stated range), counted once per distinct rate as the job board counts it. The median and typical pay are the board's: typical pay runs from the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling, stated from 3 distinct rates.
Range ratio
The top of an advertised range divided by its bottom, for roles that give a range.
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, from AI evaluation and coding to multilingual and audio work. Every kind links to its own page.
Window
Live: the last 28 complete days, in UTC. Edition: one calendar month, in UTC.

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.
  • Pay is what postings advertise, not what workers are paid after bonuses, tiers or rejected tasks.

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). How AI Training Roles Advertise Pay, October 2026 edition. https://aitraining.jobs/research/pay-transparency/2026-10

BibTeX

@misc{aitrainingjobs_pay_transparency_2026_10,
  author = {{AITraining.jobs}},
  title = {How AI Training Roles Advertise Pay, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/pay-transparency/2026-10}},
}
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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