AI & Machine Learning
aitrainerjobs.co
Search and retrieve open AI trainer job listings and company profiles from aitrainerjobs.com.
ENDPOINT 1
https://aitrainerjobs.co/mcp
MCP server metadata
- Name
- aitrainerjobs
- Version
- 1.0.0
AI Trainer Jobs lists open, remote, paid jobs that train and test AI models (AI trainer, AI tutor, data annotation, RLHF, model evaluation), from companies such as micro1, Mercor, Anyone AI, Terac, Vetto, Meridial, DataAnnotation, Prolific, xAI, Appen, RWS TrainAI, Innodata, Mindrift, Kaya, CloudFactory. The data updates every 5 minutes. - Use search_jobs to find jobs, get_job for one job's full details, and list_companies or get_company to compare how companies pay, hire, and what workers say. - Pay is in USD. Show the pay label as given. - Link each job with its `url` (the job page). To apply, use `apply_url`.
Known tools 4
search_jobsSearch open remote AI trainer jobs: paid work that trains and tests AI models, in coding, STEM, medicine, law, finance, languages, creative work, and more.
Inferred read-onlyget_jobGet one AI trainer job by its id (from search_jobs): pay, location, languages, level, hours, what the work is, the requirements, and the company's own description.
Potential side effectsget_companyGet one AI training company's profile: what it does, how and when it pays, how hiring works, what workers say (good and bad), and common questions such as "Is it legit?
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.aitrainerjobs]
url = "https://aitrainerjobs.co/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"aitrainerjobs": {
"type": "http",
"url": "https://aitrainerjobs.co/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: aitrainerjobs
Remote MCP URL: https://aitrainerjobs.co/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"aitrainerjobs": {
"url": "https://aitrainerjobs.co/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"aitrainerjobs": {
"type": "http",
"url": "https://aitrainerjobs.co/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "aitrainerjobs",
"transport": "streamable-http",
"url": "https://aitrainerjobs.co/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.