# aitrainer.work AI training jobs (remote · aitrainer.work)

Search open AI training and RLHF jobs from 20+ platforms, with pay, countries and hiring stats.

- Trust score: 77/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `aitrainer.work`: 77/100 (this document), [markdown](https://verifymcp.io/servers/work-aitrainer-jobs/aitrainer.md), [page](https://verifymcp.io/servers/work-aitrainer-jobs/aitrainer)

## Channel facts

- Endpoint: `https://aitrainer.work/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.2.0`

## 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 2026-11-05.

- **Endpoint Security**: 74/100
  - 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.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - 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**: 81/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 867 tokens (~123/item across 7 items; 6 tools + 1 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 50/100
  - Stability observed for 15 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.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **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_pay_stats" implies "pay" and declares readOnlyHint instead, contradicting what its own name says it does.
  - An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 73/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.
  - Supports UI / widget rendering.

## Install

### How do I install the aitrainer.work AI training jobs MCP server?

aitrainer.work AI training jobs is a hosted endpoint at https://aitrainer.work/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 work-aitrainer-jobs 'https://aitrainer.work/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "work-aitrainer-jobs": {
      "url": "https://aitrainer.work/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "work-aitrainer-jobs": {
      "type": "http",
      "url": "https://aitrainer.work/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.work-aitrainer-jobs]
url = "https://aitrainer.work/mcp"
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add work-aitrainer-jobs --url 'https://aitrainer.work/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  work-aitrainer-jobs:
    url: "https://aitrainer.work/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "work-aitrainer-jobs": {
      "Transport": "http",
      "Url": "https://aitrainer.work/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add work-aitrainer-jobs -t streamable-http -u 'https://aitrainer.work/mcp'
```

### Other

```json
{
  "mcpServers": {
    "work-aitrainer-jobs": {
      "type": "http",
      "url": "https://aitrainer.work/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.

### 2026-11-05 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-03 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 75, +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.

### 2026-10-30 (score 74, +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.

### 2026-10-28 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 72, +1)

- [security] Resource “job-cards” now points somewhere else: ui://widget/job-cards-v2.html → ui://widget/job-cards-v3.html
- [functional] Server version: 1.1.0 → 1.2.0

### 2026-10-24 (score 71, 0)

- [security] Resource “job-cards” now points somewhere else: ui://widget/job-cards-v1.html → ui://widget/job-cards-v2.html
- [security] Tool “get_interview_prep” rewrote its description, which is the text the model reads
- [security] Tool “match_jobs_to_profile” rewrote its description, which is the text the model reads
- [security] Tool “search_jobs” rewrote its description, which is the text the model reads

### 2026-10-23 (score 71, +10)

- [security improvement] Authorization: unverified → partial
- [security] The server rewrote its instructions, which are the text every model session reads
- [security] Tool “search_jobs” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: pass → fail
- [functional improvement] Tool “get_job” now declares an output schema
- [functional improvement] Tool “get_pay_stats” now declares an output schema
- [functional improvement] Tool “list_platforms” now declares an output schema
- [functional improvement] Tool “search_jobs” now declares an output schema
- [functional] The server now declares the “resources” capability
- [functional] First check of Capabilities: pass
- [functional] First check of Schema quality: 100
- [functional] First check of Tool coverage: 100
- [functional] New resource “job-cards”
- [functional] Server version: 1.0.0 → 1.1.0
- [functional] New tool “get_interview_prep”
- [functional] New tool “match_jobs_to_profile”

## MCP tools (6)

### `match_jobs_to_profile` (~211 tokens)

Match AI training jobs to a profile

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.

Input parameters:

- `country` (string): Country the person lives in (English name). Only roles open to it are returned.
- `languages` (array): Languages the person speaks fluently, in English, e.g. ["English", "Spanish"].
- `limit` (integer): Matches to return, default 6.
- `min_hourly_pay` (number): Lowest acceptable hourly pay in USD.
- `role` (string, required): Profession or main background, e.g. "registered nurse", "Python developer", "corporate lawyer".
- `skills` (array): Specific skills or specialties, e.g. ["cardiology", "ICU"].

Output parameters:

- `attribution` (string)
- `browse_all` (string)
- `jobs` (array)
- `returned` (integer)
- `total_matching` (integer)

### `search_jobs` (~217 tokens)

Search AI training jobs

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.

Input parameters:

- `country` (string): Only roles open to this country (English name, e.g. "India", "United States").
- `domain` (string): Field of work.
- `limit` (integer): Results to return, default 10.
- `min_hourly_pay` (number): Minimum hourly pay in USD (hourly roles only).
- `platform` (string): Platform key, e.g. mercor, micro1, outlier, handshake, turing, mindrift. See list_platforms.
- `query` (string): Words to match in the title or description, e.g. "physics", "Spanish", "lawyer".

Output parameters:

- `attribution` (string)
- `browse_all` (string)
- `jobs` (array)
- `returned` (integer)
- `total_matching` (integer)

### `get_job` (~55 tokens)

Get one AI training job

Full details of one role: description, requirements, pay and its source, hours, interview, countries.

Input parameters:

- `platform` (string, required): Platform key from search_jobs results.
- `slug` (string, required): Job slug from search_jobs results.

Output parameters:

- `attribution` (string)
- `match_reasons` (array)
- `open` (boolean)
- `pay` (string|null): Pay as the listing states it. Text ending in "(estimate, not stated in the listing)" is our estimate; "(platform range, not this role's rate)" is the range the platform posts for all its projects.
- `platform` (string)
- `platform_name` (string)
- `slug` (string)
- `title` (string)
- `url` (string): The role page on aitrainer.work, with the full listing and the application link.

### `get_interview_prep` (~121 tokens)

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.

Input parameters:

- `platform` (string): Platform name or key, e.g. "micro1", "Mercor", "Alignerr".
- `role` (string): Role or profession to practice for, e.g. "data engineer", "nurse practitioner".

Output parameters:

- `how_to_use` (string)
- `platform` (object|null)
- `role` (object|null)

### `list_platforms` (~27 tokens)

List AI training platforms

Platforms we track, with open role counts, median hourly pay, payout speed and availability.

Output parameters:

- `as_of` (string|null)
- `attribution` (string)
- `platforms` (array)

### `get_pay_stats` (~42 tokens)

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.

Output parameters:

- `as_of` (string|null)
- `attribution` (string)
- `market` (object)
- `methodology` (string)
- `pay_index` (object|null)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/work-aitrainer-jobs/aitrainer#diagnostics

## Score history

- 2026-11-05: 77
- 2026-11-04: 76
- 2026-11-03: 76
- 2026-11-02: 75
- 2026-11-01: 75
- 2026-10-31: 74
- 2026-10-30: 74
- 2026-10-29: 73
- 2026-10-28: 73
- 2026-10-27: 72
- 2026-10-26: 72
- 2026-10-25: 71
- 2026-10-24: 71
- 2026-10-23: 71
- 2026-10-22: 61
- 2026-10-21: 61

## Common questions

### What is the aitrainer.work AI training jobs MCP server?

aitrainer.work AI training jobs is an MCP server listed in the public MCP registry as work.aitrainer/jobs. Search open AI training and RLHF jobs from 20+ platforms, with pay, countries and hiring stats. This page covers its hosted endpoint (https://aitrainer.work/mcp).

### Is the aitrainer.work AI training jobs MCP server safe to use?

aitrainer.work AI training jobs scores 77 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 aitrainer.work AI training jobs MCP server expose?

aitrainer.work AI training jobs exposes 6 tools: match_jobs_to_profile, search_jobs, get_job, get_interview_prep, list_platforms, get_pay_stats. Their descriptions and schemas cost roughly 673 tokens of context every time the server is loaded.

### Does the aitrainer.work AI training jobs MCP server require authentication?

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

### Is the aitrainer.work AI training jobs MCP server still maintained?

aitrainer.work AI training jobs is still listed as active in the MCP registry. We last reached this channel on 5 November 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://aitrainer.work/mcp
- Website: https://aitrainer.work/open-data#mcp
- Changelog RSS feed: https://verifymcp.io/servers/work-aitrainer-jobs/aitrainer.xml
- Changelog JSON feed: https://verifymcp.io/servers/work-aitrainer-jobs/aitrainer.json
- HTML version of this page: https://verifymcp.io/servers/work-aitrainer-jobs/aitrainer