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Research report ยท October 2026 edition

The AI Training Jobs Index

From 1 Oct 2026 to 31 Oct 2026, open AI training roles on the platforms tracked throughout went down 3.1% (index 96.9); platforms listed 340 new roles in the last week and the advertised median stood at $50/hr.

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
1 Nov 2026, 01:11 UTC
Final once frozen
Source
The public job boards of the AI training platforms this site tracks, read every hour. Apply clicks are made on AITraining.jobs.
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

    On the 18 platforms tracked throughout, open roles went down 3.1% like for like (about 2,520 in the week of 5 Oct 2026 and 2,717 in the week of 19 Oct 2026 as read, a count that also moved with changes in how this site reads some of their boards).

    Figure 2
  2. 2

    Platforms listed about 340 new roles a week over the last week, against 432 a week in the week before (-21.3%).

    Figure 3
  3. 3

    The median advertised rate of open roles moved from $35/hr to $50/hr between the first and the last week.

    Figure 4
  4. 4

    Apply clicks per open role went from 0.42 a week in the week of 5 Oct 2026 to 5.55 in the week of 19 Oct 2026, as the roles listed and the site's audience changed.

    Figure 5

Figure 1

The index at a glance

How did the market change between the first and the last week?

MeasureWeek of 5 Oct 2026Week of 19 Oct 2026Change
Open roles (fixed panel)2,5202,717-3.1%
Open roles (all tracked platforms)2,6164,351+66.3%
New listings in the week219340+55.3%
Removed in the week251537+113.9%
Median advertised rate$35/hr$50/hr+42.9%
Apply clicks per open role0.425.55+1,217.9%

Sample. The first and the last complete week of 1 Oct 2026 to 31 Oct 2026.

Open roles are the average over the week's days; the rate and the share of roles stating pay are read at the start of each week.

Source. AITraining.jobs Research, The AI Training Jobs Index, October 2026 edition.

Figure 2

Open roles, week by week

Is the number of open AI training roles rising or falling?

WeekOpen roles (fixed panel)Index
1 to 4 OctPartial week
2,600
103.2
5 to 11 Oct
2,520
100.0
12 to 18 Oct
2,570
95.8
19 to 25 Oct
2,717
96.9
26 to 31 OctPartial week
2,608
97.4

Sample. Average open roles over each week's days, on the 18 platforms tracked since 1 Oct 2026 (the fixed panel), 1 Oct 2026 to 31 Oct 2026.

The index is the panel's open roles against the week of 5 Oct 2026 (100), chained week to week. Platforms first tracked later appear only in the last column, so their arrival never reads as hiring growth.

This site changed how it reads 6 platforms' boards in this span (Alignerr on 14 Oct 2026; Mindrift on 14 Oct 2026 and 22 Oct 2026; OpenTrain AI on 14 Oct 2026; Handshake AI on 14 Oct 2026; Prolific on 18 Oct 2026; Outlier (Scale AI) on 30 Oct 2026). From each change to the end of its week the roles that came into view are counted as already listed, not as new listings, and the roles that left view are not counted as removals; changes in open roles are measured like for like across it, on the roles that did not move with it. Each platform's own report says what changed.

A week the window cuts is labelled with the days it covers and marked as partial.

Source. AITraining.jobs Research, The AI Training Jobs Index, October 2026 edition.

Figure 3

New and removed listings, week by week

How many AI training roles are listed and taken down each week?

WeekNew listingsRemoved
1 to 4 OctPartial week
156
264
5 to 11 Oct
219
251
12 to 18 Oct
432
425
19 to 25 Oct
340
537
26 to 31 OctPartial week
491
541

Sample. Listings on the platforms' job boards, 1 Oct 2026 to 31 Oct 2026, by ISO week (Monday to Sunday, UTC).

Each platform's first week in this dataset (its back catalogue) is not counted as new listings.

A week the window cuts is labelled with the days it covers and marked as partial.

Source. AITraining.jobs Research, The AI Training Jobs Index, October 2026 edition.

Figure 4

The advertised median rate, week by week

Are advertised rates for AI training work moving?

WeekMedian advertised rateRoles stating a rate
1 to 4 OctPartial week
$35
83.2%
5 to 11 Oct
$35
82.5%
12 to 18 Oct
$40
79.0%
19 to 25 Oct
$50
82.8%
26 to 31 OctPartial week
$40
82.4%

Sample. Roles open at the start of each week that state an hourly rate, 1 Oct 2026 to 31 Oct 2026.

The median follows the mix of open roles as well as rates themselves.

A week the window cuts is labelled with the days it covers and marked as partial.

Source. AITraining.jobs Research, The AI Training Jobs Index, October 2026 edition.

Figure 5

Applicant interest per open role, week by week

Is competition for each opening rising or falling?

WeekClicks per open role
1 to 4 OctPartial week
0.36
5 to 11 Oct
0.42
12 to 18 Oct
0.77
19 to 25 Oct
5.55
26 to 31 OctPartial week
6.77

Sample. Apply clicks on a specific role on AITraining.jobs, 1 Oct 2026 to 31 Oct 2026, against the roles open that week.

It rises with AITraining.jobs's own audience as well as with interest in the work: read it beside the other weeks, not as a market total.

A week the window cuts is labelled with the days it covers and marked as partial.

Source. AITraining.jobs Research, The AI Training Jobs Index, 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:

  • 11,482 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.

  • 58,632 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

    The rows behind any figure, with their history, not only the totals.

  • A regular feed

    The same figures every week or month, as files.

  • A custom cut or benchmark

    Your countries, languages or fields, or your own platform against the market.

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. Apply clicks are made on AITraining.jobs. 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.

Fixed panel
The platforms already tracked when the window opens. The index follows their open roles, so a platform added later never reads as market growth.
Index
The panel's average open roles in a week, divided by the same in the base week, times 100.
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. When this site changes how it reads a platform's board (a cap lifted, a page kind or department read too, a relevance rule changed), the roles that came into view or left it from that change to the end of its week are this site's reading, not the platform's hiring: they are not new listings or removals, and changes in open roles are measured like for like across it. Each platform's report says what changed.
Removed listing
A role that left its platform's feed during the window, other than with a change in how this site reads the board (see New listing).
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.
Clicks per open role a week
Apply clicks on AITraining.jobs divided by the days the roles were open, times 7.
Window
Live: the last twelve complete ISO weeks (Monday to Sunday, UTC), from the week of 3 Aug 2026 at the earliest. Edition: the weeks of one calendar month.

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.
  • Before 3 Aug 2026 this dataset's feeds were still being added and tuned, so the index does not reach back further.

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 12 complete weeks (from 3 Aug 2026 at the earliest) and moves on every Monday. 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 AI Training Jobs Index, October 2026 edition. https://aitraining.jobs/research/ai-training-jobs-index/2026-10

BibTeX

@misc{aitrainingjobs_ai_training_jobs_index_2026_10,
  author = {{AITraining.jobs}},
  title = {The AI Training Jobs Index, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/ai-training-jobs-index/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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