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Research report ยท September 2026 edition

The AI Training Rate Card

On 30 Sep 2026, too few platforms stated rates for the same work to compare them.

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

Data window
1 Sep 2026 to 30 Sep 2026
30 days, UTC
Frozen
11 Nov 2026, 14:35 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

Rate card for roles open to US residents

Like for like on geography: for roles a US resident can apply to, what does each platform advertise per hour?

No data in this window.

Sample. 0 roles open to US residents, open at the end of 30 Sep 2026, that state an hourly rate. A platform's median is shown where at least 3 of its roles in the row state one; n/a otherwise.

Advertised pay: the hourly figure a posting states (the middle of a stated range). What a worker is paid can differ with tiers, bonuses and rejected tasks.

Columns are the 0 platforms with the most published medians in this table; "All platforms" counts every platform's priced roles in the row.

Only roles a resident of the United States may apply to (open worldwide, listing the US, or not excluding it), so a platform hiring mostly in lower-cost countries is compared on the same ground.

Source. AITraining.jobs Research, The AI Training Rate Card, September 2026 edition.

Figure 2

Rate card by kind of work

For each kind of AI training work, what does each platform advertise per hour?

No data in this window.

Sample. 0 roles, open at the end of 30 Sep 2026, that state an hourly rate. A platform's median is shown where at least 3 of its roles in the row state one; n/a otherwise.

Advertised pay: the hourly figure a posting states (the middle of a stated range). What a worker is paid can differ with tiers, bonuses and rejected tasks.

Columns are the 0 platforms with the most published medians in this table; "All platforms" counts every platform's priced roles in the row.

Source. AITraining.jobs Research, The AI Training Rate Card, September 2026 edition.

Figure 3

Rate card by expert field

For each profession or discipline named in a title, what does each platform advertise per hour?

No data in this window.

Sample. Roles whose title names an expert field, open at the end of 30 Sep 2026, that state an hourly rate. A platform's median is shown where at least 3 of its roles in the row state one; n/a otherwise.

Advertised pay: the hourly figure a posting states (the middle of a stated range). What a worker is paid can differ with tiers, bonuses and rejected tasks.

Columns are the 0 platforms with the most published medians in this table; "All platforms" counts every platform's priced roles in the row.

Source. AITraining.jobs Research, The AI Training Rate Card, September 2026 edition.

Figure 4

Rate card by language

For each language named in a title, what does each platform advertise per hour?

No data in this window.

Sample. Roles whose title names a language, open at the end of 30 Sep 2026, that state an hourly rate. A platform's median is shown where at least 3 of its roles in the row state one; n/a otherwise.

Advertised pay: the hourly figure a posting states (the middle of a stated range). What a worker is paid can differ with tiers, bonuses and rejected tasks.

Columns are the 0 platforms with the most published medians in this table; "All platforms" counts every platform's priced roles in the row.

Source. AITraining.jobs Research, The AI Training Rate Card, September 2026 edition.

Figure 5

How much the platform changes the rate for the same work

For the same work, how far apart are the best- and worst-paying platforms?

No data in this window.

Sample. Groups in which at least two platforms each have 3 or more open roles stating an hourly rate, on 30 Sep 2026.

A spread compares platform medians, not individual roles: one platform can pay a wide range within the same work.

Across all roles a spread also reflects where each platform hires: many set lower rates in lower-cost countries. The rate card for roles open to US residents compares like for like.

Source. AITraining.jobs Research, The AI Training Rate Card, September 2026 edition.

Figure 6

Which platform advertises the most for each kind of work

Which platforms pay the top rate in the most kinds of AI training work?

No data in this window.

Sample. Kinds of work with at least two platforms each advertising an hourly rate on 3 or more open roles, on 30 Sep 2026.

Source. AITraining.jobs Research, The AI Training Rate Card, September 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.

Platform median
The median advertised hourly rate of a platform's open roles in a group that state one, published only with at least 3 such roles (the one minimum of every median).
Like for like
The rate card for roles open to US residents compares platforms on the same geography: many set lower rates in lower-cost countries.
Highest over lowest
The best-paying platform's median divided by the worst-paying platform's, among platforms with a published median.
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.
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.
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.
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 tiers, bonuses or rejected tasks.
  • A platform median covers the roles it lists in that group; two platforms' roles in one group can still differ in seniority and difficulty.

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). The AI Training Rate Card, September 2026 edition. https://cyberjobs.cc/research/ai-training-rate-card/2026-09

BibTeX

@misc{aitrainingjobs_ai_training_rate_card_2026_09,
  author = {{AITraining.jobs}},
  title = {The AI Training Rate Card, September 2026 edition},
  year = {2026},
  howpublished = {\url{https://cyberjobs.cc/research/ai-training-rate-card/2026-09}},
}
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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