
AI Training Jobs MCP server
Which MCP servers are AI Training Jobs's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-11-02
- Registry namexyz.aitrainingjobs/jobsverified in the MCP registry
The registry name sits under aitrainingjobs.xyz. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-11-02
- Tools5
- Server calls itselfaitrainingjobs
- Server version1.0.0
- Protocol version2025-06-18
On 2026-11-02 the server answered initialize and tools/list without a sign-in. First answer in 1835 ms.
- Its tools do none of the product's use cases we checked: label and annotate data samples; transcribe audio recordings for AI training.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- Keep approval on for pay_stats: they delete, send or pay without saying so.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
- What an agent can do with it0 of 2 use cases
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer1095 ms
- Space in an agent's context≈ 1,390 tokensthe definitions of all its tools (5), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 5 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- not sure · rate AI answers for accuracy and quality
- cannot · label and annotate data samples
- cannot · transcribe audio recordings for AI training
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
- Tools that delete or pay, marked read-only: pay_stats
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
search_jobsSearch open AI training jobs (rating, writing and reviewing AI output, paid by AI labs) across vetted platforms. Filter by field, country, minimum hourly pay, platform, language and kind of data work. Returns each job with stated pay, who…
get_jobFull details of one job: pay, who can apply, how the platform screens applicants, and the description. Pass the job url or slug from search_jobs.
list_platformsEvery platform listed, with open jobs, median top hourly rate, beginner-friendly roles and a one-line description. Use get_platform for how to get accepted and how it pays.
get_platformOne platform in depth: how its screening works, tips, how and when it pays (from its own help pages, with sources), its official domain for spotting fakes, live job counts, pay and fields.
pay_statsWhat AI training jobs pay, from live listings that state an hourly rate: 25th percentile, median, 75th and 90th percentile of top rates, with the platforms hiring most. Optionally for one field and/or one country (listings that name the…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"jobs": {
"type": "http",
"url": "https://aitrainingjobs.xyz/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http aitrainingjobs https://aitrainingjobs.xyz/mcpclaude.ai, ChatGPT and other clients: add https://aitrainingjobs.xyz/mcp as a custom connector in the settings.
OpenAPI spec
1 paths, read 2026-11-02. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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