# AITraining.jobs (remote · aitraining.jobs)

Search open AI training jobs from 17 platforms and compare advertised hourly pay by kind of work.

- Trust score: 76/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-23

## Components

- remote · `aitraining.jobs`: 76/100 (this document), [markdown](https://verifymcp.io/servers/jobs-aitraining-ai-training-jobs/api-mcp.md), [page](https://verifymcp.io/servers/jobs-aitraining-ai-training-jobs/api-mcp)

## Channel facts

- Endpoint: `https://aitraining.jobs/api/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-23.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 67/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 594 tokens (~198/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 40/100
  - Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 75/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "get_ai_training_pay" implies "pay" and declares readOnlyHint instead, contradicting what its own name says it does.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the AITraining.jobs MCP server?

AITraining.jobs is a hosted endpoint at https://aitraining.jobs/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http jobs-aitraining-ai-training-jobs 'https://aitraining.jobs/api/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "jobs-aitraining-ai-training-jobs": {
      "url": "https://aitraining.jobs/api/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "jobs-aitraining-ai-training-jobs": {
      "type": "http",
      "url": "https://aitraining.jobs/api/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.jobs-aitraining-ai-training-jobs]
url = "https://aitraining.jobs/api/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "jobs-aitraining-ai-training-jobs": {
      "type": "remote",
      "url": "https://aitraining.jobs/api/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add jobs-aitraining-ai-training-jobs --url 'https://aitraining.jobs/api/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  jobs-aitraining-ai-training-jobs:
    url: "https://aitraining.jobs/api/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "jobs-aitraining-ai-training-jobs": {
      "Transport": "http",
      "Url": "https://aitraining.jobs/api/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add jobs-aitraining-ai-training-jobs -t streamable-http -u 'https://aitraining.jobs/api/mcp'
```

### Other

```json
{
  "mcpServers": {
    "jobs-aitraining-ai-training-jobs": {
      "type": "http",
      "url": "https://aitraining.jobs/api/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-22 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-20 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-19 (score 74, 0)

- [security] The server rewrote its instructions, which are the text every model session reads

### 2026-10-17 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-15 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-12 (score 71, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-11 (score 71)

First indexed and scored.

## MCP tools (3)

### `search_ai_training_jobs` (~255 tokens)

Search AI training jobs

Search the open AI training jobs (paid work training and evaluating AI models) across about 60 platforms such as Mercor, micro1, Outlier, DataAnnotation, Alignerr and Invisible. Returns each role's title, platform, kind of work, advertised pay, where it is open and a link to apply on AITraining.jobs. All filters are optional.

Input parameters:

- `country` (string): ISO 3166-1 alpha-2 code (e.g. 'US', 'IN', 'BR'): only roles open to applicants in that country.
- `kind` (string): Kind of work. One of the listed slugs, e.g. 'coding', 'rlhf-eval', 'multilingual'.
- `limit` (integer): How many roles to return (1 to 25).
- `min_hourly_usd` (integer): Only roles whose advertised hourly ceiling reaches this many US dollars.
- `platform` (string): Platform slug, e.g. 'mercor', 'micro1', 'outlier-scale-ai'. get_ai_training_market lists them.
- `query` (string): Keywords matched against role titles, e.g. 'physician', 'Python', 'Spanish', 'lawyer'.

### `get_ai_training_pay` (~70 tokens)

AI training pay by kind of work

What AI training work pays per hour today, by kind of work: the median and the typical range (25th to 75th percentile) of the rates open roles advertise, with how many rates and platforms each figure comes from. A rate is shown only when at least three platforms advertise it.

### `get_ai_training_market` (~103 tokens)

AI training job market

How many AI training jobs are open right now, how many were listed in the last 7 days, and the open roles by kind of work and by platform (with each platform's slug for search_ai_training_jobs). Optionally scoped to the roles open to applicants in one country.

Input parameters:

- `country` (string): ISO 3166-1 alpha-2 code (e.g. 'US', 'KE'): count only roles open to applicants in that country.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/jobs-aitraining-ai-training-jobs/api-mcp#diagnostics

## Score history

- 2026-10-23: 76
- 2026-10-22: 76
- 2026-10-21: 75
- 2026-10-20: 75
- 2026-10-19: 74
- 2026-10-18: 74
- 2026-10-17: 74
- 2026-10-16: 73
- 2026-10-15: 73
- 2026-10-14: 72
- 2026-10-13: 72
- 2026-10-12: 71
- 2026-10-11: 71

## Common questions

### What is the AITraining.jobs MCP server?

AITraining.jobs is an MCP server listed in the public MCP registry as jobs.aitraining/ai-training-jobs. Search open AI training jobs from 17 platforms and compare advertised hourly pay by kind of work. This page covers its hosted endpoint (https://aitraining.jobs/api/mcp).

### Is the AITraining.jobs MCP server safe to use?

AITraining.jobs scores 76 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AITraining.jobs MCP server expose?

AITraining.jobs exposes 3 tools: search_ai_training_jobs, get_ai_training_pay, get_ai_training_market. Their descriptions and schemas cost roughly 428 tokens of context every time the server is loaded.

### Does the AITraining.jobs MCP server require authentication?

No. We connected to AITraining.jobs without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the AITraining.jobs MCP server still maintained?

AITraining.jobs is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://aitraining.jobs/api/mcp
- Website: https://aitraining.jobs/data#mcp
- Changelog RSS feed: https://verifymcp.io/servers/jobs-aitraining-ai-training-jobs/api-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/jobs-aitraining-ai-training-jobs/api-mcp.json
- HTML version of this page: https://verifymcp.io/servers/jobs-aitraining-ai-training-jobs/api-mcp