aitrainer.work AI training jobs
REMOTE · AITRAINER.WORK
Search open AI training and RLHF jobs from 20+ platforms, with pay, countries and hiring stats.
Available components
Last scanned (20 hours ago)
Scores higher than 66% of remote servers
Reachable. Last reached 4 Nov 2026.
Category AI and Machine Learning
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. How we score → Why this is hard to score →
Endpoint Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability81
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management47
- Stability observed for 14 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 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. See how to fix → Fail
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities73
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
- Supports UI / widget rendering.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 +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.
- 1 Nov 26 +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.
- 30 Oct 26 +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.
- 28 Oct 26 +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.
- 26 Oct 26 +1
- Resource “job-cards” now points somewhere else: ui://widget/job-cards-v2.html → ui://widget/job-cards-v3.html security
- Server version: 1.1.0 → 1.2.0 functional
- 24 Oct 26 0
- 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 security
- 23 Oct 26 +10
- 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 security
- Schema quality: pass → fail ▼ functional
- Tool “get_job” now declares an output schema ▲ functional
- Tool “get_pay_stats” now declares an output schema ▲ functional
- Tool “list_platforms” now declares an output schema ▲ functional
- 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” functional
- 22 Oct 26 0
- Stability: unverified → 0.03 ▲ functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Probed https://aitrainer.work/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=aitrainer.work | CN=WE1,O=Google Trust Services,C=US | 22 Oct 2026 | 20 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | 2139c2e203ff3bda13a6abeeafb1c6c4 |
| SANs: aitrainer.work | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of aitrainer.work. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| work. | present | 33659 | 13 | Verified |
| aitrainer.work. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://aitrainer.work/mcp | Verified | 200 | |
| http (plaintext) | http://aitrainer.work/mcp | HTTPS enforced | 301 | https://aitrainer.work/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_interview_prep Prepare for an AI training interview ~121
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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". |
| Name | Type | Req | Description |
|---|---|---|---|
| how_to_use | string | yes | – |
| platform | object|null | yes | – |
| role | object|null | yes | – |
No examples provided.
get_job Get one AI training job ~55
Full details of one role: description, requirements, pay and its source, hours, interview, countries.
| Name | Type | Req | Description |
|---|---|---|---|
| platform | string | yes | Platform key from search_jobs results. |
| slug | string | yes | Job slug from search_jobs results. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| match_reasons | array | – | – |
| open | boolean | yes | – |
| pay | string|null | yes | 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 | yes | – |
| platform_name | string | yes | – |
| slug | string | yes | – |
| title | string | yes | – |
| url | string | yes | The role page on aitrainer.work, with the full listing and the application link. |
No examples provided.
get_pay_stats AI training pay and hiring stats ~42
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.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| as_of | string|null | – | – |
| attribution | string | yes | – |
| market | object | yes | – |
| methodology | string | yes | – |
| pay_index | object|null | – | – |
No examples provided.
list_platforms List AI training platforms ~27
Platforms we track, with open role counts, median hourly pay, payout speed and availability.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| as_of | string|null | – | – |
| attribution | string | yes | – |
| platforms | array | yes | – |
No examples provided.
match_jobs_to_profile Match AI training jobs to a profile ~211
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | Profession or main background, e.g. "registered nurse", "Python developer", "corporate lawyer". |
| skills | array | – | Specific skills or specialties, e.g. ["cardiology", "ICU"]. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| browse_all | string | yes | – |
| jobs | array | yes | – |
| returned | integer | yes | – |
| total_matching | integer | yes | – |
No examples provided.
search_jobs Search AI training jobs ~217
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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". |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| browse_all | string | yes | – |
| jobs | array | yes | – |
| returned | integer | yes | – |
| total_matching | integer | yes | – |
No examples provided.
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.
remote · aitrainer.work
claude mcp add --transport http work-aitrainer-jobs 'https://aitrainer.work/mcp'
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 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 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 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.