_ registry / mcp http-sse · checked 1h ago

aitrainerjobs

https://aitrainerjobs.co

Registry code: 5a213f87527172ef

api record

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. 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.

endpoint
https://aitrainerjobs.co/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is aitrainerjobs live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is aitrainerjobs free to use?
Yes — the hub reached it with no key and no payment.
What tools does aitrainerjobs have?
4 tools: get_job, get_company, list_companies, search_jobs.
Is aitrainerjobs safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
775ms

last good check

priced tools
0

of 4 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 4 tools
2 open 2 never probed 2 of 4 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • list_companies open 1h ago

    List the companies with open AI trainer jobs on aitrainerjobs.co, with open jobs, median and typical pay, worker rating, and how they pay. Use it to compare companies.

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {}
    }
    arguments 5 lines
  • search_jobs open 1h ago

    Search open remote AI trainer jobs: paid work that trains and tests AI models, in coding, STEM, medicine, law, finance, languages, creative work, and more. Returns the newest jobs first, with pay, location, a short summary, and links. All filters are optional.

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "limit": {
          "type": "integer",
          "default": 10,
          "maximum": 20,
          "minimum": 1,
          "description": "Number of jobs to return."
        },
        "query": {
          "type": "string",
          "maxLength": 100,
          "minLength": 1,
          "description": "Words to find in the job title, company, or skills. Examples: \"Python\", \"Spanish\", \"nurse\", \"Mercor\"."
        },
        "offset": {
          "type": "integer",
          "default": 0,
          "maximum": 9007199254740991,
          "minimum": 0,
          "description": "Number of jobs to skip, for the next page."
        },
        "category": {
          "enum": [
            "coding",
            "stem",
            "medical",
            "legal",
            "finance",
            "languages",
            "voice-video",
            "creative",
            "generalist",
            "robotics"
          ],
          "type": "string",
          "description": "Job area."
        },
        "pay_type": {
          "enum": [
            "hour",
            "task",
            "once"
          ],
          "type": "string",
          "description": "hour: hourly rate. task: paid per task. once: one payment."
        },
        "min_hourly_pay": {
          "type": "number",
          "maximum": 1000,
          "minimum": 0,
          "description": "Keep jobs that can pay at least this many US dollars an hour."
        },
        "eligible_country": {
          "type": "string",
          "pattern": "^[A-Za-z]{2}$",
          "description": "Two-letter country code (ISO 3166-1 alpha-2) where the worker is allowed to work. Drops jobs that exclude that country."
        }
      }
    }
    arguments 62 lines
  • get_job unknown never probed

    Get 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.

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "id"
      ],
      "properties": {
        "id": {
          "type": "string",
          "pattern": "^[0-9a-f]{8}$",
          "description": "The job id from search_jobs, 8 hex characters."
        }
      }
    }
    arguments 14 lines
  • get_company unknown 1h ago

    Get 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?".

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "name"
      ],
      "properties": {
        "name": {
          "type": "string",
          "maxLength": 60,
          "minLength": 1,
          "description": "Company name, one of: micro1, Mercor, Anyone AI, Terac, Vetto, Meridial, DataAnnotation, Prolific, xAI."
        }
      }
    }
    arguments 15 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 5a213f87527172ef.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/5a213f87527172ef/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/5a213f87527172ef/badge.svg)](https://brick.blue/agent/5a213f87527172ef?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
80%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.