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Research report · August 2026 edition

AI Training Platforms Compared

No open roles were recorded on 31 Aug 2026.

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 Nov 2026, 14:34 UTC
These figures will not change
Source
The public job boards of the AI training platforms this site tracks, read every hour.
Method
Version 3. Definitions
CC BY 4.0, how to cite

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

Key findings

There is not enough data in this window to state findings.

Figure 1

Open roles and listing activity by platform

Which platforms list the most AI training roles, and which are growing?

No data in this window.

Sample. 0 roles open at the end of 31 Aug 2026 on the 0 platforms whose public job boards AITraining.jobs reads every hour; listings from 1 Aug 2026 to 31 Aug 2026.

New listings leave out a platform's first week in this dataset (its back catalogue). Change compares the platform's open roles at the start and the end of the window.

A platform that posts one listing per language or country counts each one: these are listings, not people hired.

Source. AITraining.jobs Research, AI Training Platforms Compared, August 2026 edition.

Figure 2

Advertised hourly pay by platform

What does each platform advertise it pays, and how often does it say?

No data in this window.

Sample. The 0 roles open on 31 Aug 2026 that state an hourly rate.

Pay is the hourly figure a posting advertises (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.

A median needs at least 3 distinct advertised rates, as on the job board; platforms below that are marked as a small sample and show n/a.

Source. AITraining.jobs Research, AI Training Platforms Compared, August 2026 edition.

Figure 3

Who may apply, by platform

Which platforms hire worldwide, and which limit roles to some countries?

No data in this window.

Sample. 0 roles open on 31 Aug 2026; shares of each platform's own open roles.

The rule is read from each posting's location text and, where that names no country, from what the posting's own description states. Countries named: distinct countries in the platform's include and exclude lists.

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, AI Training Platforms Compared, August 2026 edition.

Figure 4

How long roles stay listed, by platform

Which platforms fill or pull their roles fastest?

No data in this window.

Sample. Roles removed from 1 Aug 2026 to 31 Aug 2026 with a known listing date, and roles open on 31 Aug 2026.

Days listed: from the listing date the job board states (or the first day the role appeared in the feed) to the last day it was seen.

A median needs at least 3 removed roles.

Source. AITraining.jobs Research, AI Training Platforms Compared, August 2026 edition.

Figure 5

What each platform hires for

Which kind of AI training work does each platform list most?

No data in this window.

Sample. 0 roles open on 31 Aug 2026, by the kind of work each is classified as.

Kinds of work are this site's 12 categories of AI training work, each classified from the role's title and description.

Source. AITraining.jobs Research, AI Training Platforms Compared, August 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:

  • 0 roles tracked, each with its history

    Every role on 0 job boards, read since n/a (every hour since 18 Oct 2026): its pay and place, and the first and last day it was open.

  • 0 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. 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.

Coverage
The platforms whose public job boards AITraining.jobs reads in full every hour. Each figure states how many were read.
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).
Days listed
From a removed role's listing date to the last day it was seen in its feed.
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.
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.
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 (creativecommons.org/licenses/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). AI Training Platforms Compared, August 2026 edition. https://cyberjobs.cc/research/platform-scorecard/2026-08

BibTeX

@misc{aitrainingjobs_platform_scorecard_2026_08,
  author = {{AITraining.jobs}},
  title = {AI Training Platforms Compared, August 2026 edition},
  year = {2026},
  howpublished = {\url{https://cyberjobs.cc/research/platform-scorecard/2026-08}},
}
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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