Searches open AI training and RLHF job listings from 20+ platforms, with pay, eligible countries, interview prep and market pay stats.
What you can do
Match open AI training roles to a described background, skills, languages, country and minimum hourly pay
Search roles by keyword and filters across 20+ platforms, with title, platform, pay and countries
Read full details of a single role: description, requirements, pay source, hours and interview
Get platform hiring steps and practice interview questions, or run a mock interview
Compare tracked platforms by open role counts, median pay and payout speed
Look up market pay medians and quartiles plus hiring outcomes from a monthly pay index
When to use it
Useful when someone is exploring or applying for AI training, RLHF, model rating or expert data work and wants to find matching roles, compare platforms, check pay levels, or prepare for a platform interview.
Requirements
A remote streamable HTTP endpoint; no packages, environment variables or headers are declared. No authentication is declared. Network access to the aitrainer.work endpoint is needed.
Before you install
Results link out to third-party platforms where applications happen; the server itself does not apply. Pay figures come from listing data and a monthly index, so treat them as estimates. Practice interview questions are the provider's own, not a platform's real questions. Data is published under CC BY 4.0 and should be attributed.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/work.aitrainer%2Fjobs/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
Rank open AI training and AI evaluation roles for one person by their profession, skills, languages, country and minimum hourly pay (USD). Use when the user describes their own background, e.g. "I am a nurse in Canada". Returns up to 10 roles, highest match first, each with the reasons it fits. Nothing about the person is stored.
Search open AI training / AI evaluation roles (RLHF, model rating, expert data work) across 20+ platforms by keyword and filters. Returns title, platform, pay, eligible countries and the aitrainer.work page for each role, most relevant first (newest first when there is no keyword). Every keyword must appear in the role, so use one to three words.
Full details of one role: description, requirements, pay and its source, hours, interview, countries.
Parametersslugrequiredplatformrequired
get_interview_prep
Prepare for an AI training interview
How a platform hires (steps, interview format, aitrainer.work guides) and practice questions with strong-answer outlines for a role. Use to explain what an interview involves or to run a mock interview. Practice questions are aitrainer.work's own, not a platform's real interview questions.
Parametersroleplatform
list_platforms
List AI training platforms
Platforms we track, with open role counts, median hourly pay, payout speed and availability.
Takes no parameters.
get_pay_stats
AI training pay and hiring stats
Market pay for AI training work (median and quartiles of hourly rates stated in listings, by platform) and hiring outcomes from the latest monthly AI Training Pay Index.
Takes no parameters.
Version history
2
v1.2.0LatestOct 26, 2026
v1.0.0Oct 21, 2026
Score
83%
83% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.