AITraining.jobs

npx add-mcp 'https://aitraining.jobs/api/mcp'

Data on AI training jobs and pay

The numbers behind AITraining.jobs: the AI training roles open today by kind of work and platform, the hourly pay they advertise, and every figure in the 78 research reports. The files are sent to your work email, refreshed every day.

[

open roles today

](https://aitraining.jobs/?country=all#live-roles)Data updated 22 hrs ago

The files

Three files, built fresh every day

Each file is built from the same daily read of the platforms' own job feeds as the pages that show it, so the data and the site never disagree. Ask for them above and they arrive as links in one email.

Open roles

/roles.json

How many AI training roles are open right now, by kind of work and by platform, with how many were first listed in the last 7 days and in each recent week. Counts are aggregates: the file does not list individual roles.

name, description

What the dataset is.

source

The page that renders the same numbers.

license

CC BY 4.0.

measurement_technique

How the figures are measured.

updated

When the job feeds were last read (ISO 8601, UTC).

temporal_coverage

The day the figures describe (YYYY-MM-DD). Cite this date.

totals.open_roles

Open roles across every platform read.

totals.platforms_live

Platforms with at least one open role.

totals.new_last_7d

Still-open roles first listed in the last 7 days.

recent_market_momentum.weekly[]

Roles first listed in each recent ISO week (week_start, new_roles), and their average.

open_by_work_type[]

slug, label, open_count, and the pay fields below where at least three platforms advertise a rate (otherwise null).

open_by_platform[]

slug, name, open_count.

Pay by kind of work

/pay.json

The hourly pay AI training roles advertise, for each kind of work whose rate is advertised by at least three platforms, so one platform's rate card is never published as a market rate.

name, description

What the dataset is.

source

The page that renders the same numbers.

license

CC BY 4.0.

measurement_technique

How the figures are measured.

updated

When the job feeds were last read (ISO 8601, UTC).

temporal_coverage

The day the figures describe (YYYY-MM-DD). Cite this date.

pay_by_work_type[].slug, label

The kind of work (for example AI evaluation, coding, multilingual).

currency, unit

USD, per hour.

median

Median advertised hourly rate.

typical_low, typical_high

Typical pay: the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling.

rate_samples

Distinct advertised rates measured, after removing relistings.

platforms

Platforms advertising those rates.

open_total, unpriced

Open roles of that kind, and how many state no rate.

Pay by kind of work, as a spreadsheet

/pay.csv

The same rows as /pay.json, downloaded as a dated CSV file for spreadsheets.

For developers

The same three files, from code

A program can read the files directly over HTTPS, from any origin, with no key. Opened in a browser, the same addresses bring you back here to ask for the files.

curl https://aitraining.jobs/roles.json

const res = await fetch("https://aitraining.jobs/pay.json");
const { pay_by_work_type } = await res.json();

Research reports

Every figure in the research reports

Each research report has its figures as files too, whole or one figure at a time, live or as a frozen monthly edition. Ask on the report's own page (Get the data by email) and they are sent to your work email. The CSV has one line per published value: figure, row, measure, unit and value.

• Applicant Demand for AI Training Work
• AI Training Hiring Activity
• AI Training Platforms Compared
• Languages in Demand for AI Training
• Expert Fields in Demand for AI Training
• How AI Training Roles Advertise Pay
• Where AI Training Work Is Open
• The AI Training Jobs Index
• What AI Training Roles Require
• How AI Training Applications Work
• AI Training Pay Trends
• AI Training Job Titles
• What Raises AI Training Pay
• AI Training Market Concentration
• Data Quality and Coverage
• How Long AI Training Roles Stay Open
• When AI Training Roles Are Posted
• What Draws Applicants to AI Training Roles
• AI Training Work Without Experience
• Programming Languages in AI Training
• What AI Trainers Do
• On-Site AI Training Work
• How AI Training Work Is Paid
• The AI Training Rate Card
• Which AI Labs Are Hiring for Human Data
• Where Human-Data Vendors Are Building
• Who Is Buying AI Training Data
• What AI Labs Pay for Human Data
• What AI Labs Are Buying
• AI Training Data Licensing Deals
• Lawsuits and Settlements Over AI Training Data
• Company Data Brokerage: Buyers, Prices and Terms
• Human Data Quality, Fraud and Security
• AI Training Pay Against the Local Minimum Wage
• Where AI Labs Are Pushing: The Expertise Being Hired, Week by Week
• AI Training Vendor Health
• The Expert Scarcity Index for AI Training
• Real-World Data Collection Work
• How AI Training Platforms Screen Experts
• Funding and Valuations of AI Training Data Companies
• Revenue and Scale of AI Training Data Companies
• Lawsuits, Regulation and Labour Actions in AI Training Work
• What Studies Find About Pay in AI Data Work
• The Market for AI Evaluation & Rating (RLHF) Work
• The Market for Coding & Software Evaluation Work
• The Market for Math & STEM Work
• The Market for Law, Medicine & Finance Work
• The Market for Agentic Tasks & RL Environments Work
• The Market for Data Annotation & Labeling Work
• The Market for Robotics & Physical-AI Data Work
• The Market for Multilingual & Localization Work
• The Market for Transcription, Audio & Speech Work
• The Market for Writing & Content Work
• The Market for Red-Teaming & AI Safety Work
• The Market for Research Studies & Surveys Work
• OpenTrain AI Hiring Data
• Invisible Hiring Data
• micro1 Hiring Data
• Welo Data Hiring Data
• AfterQuery Hiring Data
• Mercor Hiring Data
• Sigma AI Hiring Data
• Braintrust Hiring Data
• Alignerr Hiring Data
• TransPerfect DataForce Hiring Data
• Appen Hiring Data
• Mindrift Hiring Data
• xAI (SpaceXAI) Hiring Data
• Terac Hiring Data
• SuperAnnotate (SME) Hiring Data
• Turing Hiring Data
• Handshake AI Hiring Data
• Anyone AI Hiring Data
• Perle Labs Hiring Data
• Claru Hiring Data
• Babel Audio Hiring Data
• RemoExperts Hiring Data

For AI assistants

Search the jobs from Claude, ChatGPT or any MCP client

The same data is a remote MCP server: an AI assistant can search the open roles and read the pay figures, and every role it finds links back here to apply.

Server URL (Streamable HTTP)

https://aitraining.jobs/api/mcp

search_ai_training_jobs

Open roles matching keywords, kind of work, platform, country or a minimum hourly rate, each with its pay and a link to apply.

get_ai_training_pay

Median and typical hourly pay by kind of work (the /pay.json figures).

get_ai_training_market

Open roles by kind of work and platform, optionally for one country (the /roles.json figures).

In Claude, add it under Settings, Connectors, Add custom connector. In clients configured by file (Cursor, VS Code, Claude Code), add:

{
  "mcpServers": {
    "aitraining-jobs": { "url": "https://aitraining.jobs/api/mcp" }
  }
}

Terms

Reuse, with credit

• License: CC BY 4.0. Credit AITraining.jobs, link the pay report, and cite the date in temporal_coverage.
• Access: for people, the files are sent to a work email. For code, HTTPS only, no key, CORS enabled. OpenAPI description: /openapi.json.
• Freshness: the feeds are read once a day, so fetching more often returns the same figures. Cache for a few hours.
• Method: how rates are counted, which roles are excluded and why a rate needs three platforms is on how we compile pay.

Need a cut by country, platform or kind of work, a longer history, or the records behind the figures?