AITraining.jobs
REMOTE · AITRAINING.JOBS
Search open AI training jobs from 17 platforms and compare advertised hourly pay by kind of work.
Available components
Last scanned (17 hours ago)
Scores higher than 71% of remote servers
Reachable. Last reached 23 Oct 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 Security80
- 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
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- 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 Usability67
- AI-judged instruction clarity (good).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management40
- Stability observed for 12 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
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_ai_training_pay" implies "pay" and declares readOnlyHint instead, contradicting what its own name says it does. See how to fix → Fail
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).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.
- 22 Oct 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.
- 20 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.
- 19 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- 17 Oct 26 +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.
- 15 Oct 26 +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.
- 13 Oct 26 +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.
- 12 Oct 26 0
- Stability: unverified → 0.03 ▲ functional
- 11 Oct 26 71
First indexed and scored.
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 23 Oct 2026 · Probed https://aitraining.jobs/api/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=aitraining.jobs | CN=YR1,O=Let's Encrypt,C=US | 13 Sept 2026 | 12 Dec 2026 | RSA 2048 | SHA256-RSA | 5ca0f075a9f3c20602cfc6766a3ff8ccce4 |
| SANs: aitraining.jobs | ||||||
| CN=YR1,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | a20253f15f2691c05dc1ce13b9bcca4e |
| CN=Root YR,O=ISRG,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | RSA 4096 | SHA256-RSA | f24b6d17f9d9ad7cb1c9fea78782699f |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of aitraining.jobs. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| jobs. | present | 47990 | 8 | Verified |
| aitraining.jobs. | 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 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains |
| content-security-policy | default-src 'self'; script-src 'self' 'unsafe-inline' 'unsafe-eval' https://js.stripe.com https://platform.twitter.com https://www.googletagmanager.com; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; img-src 'self' data: blob: https:; media-src 'self' https: blob:; font-src 'self' https://fonts.gstatic.com; connect-src 'self' https://*.supabase.co wss://*.supabase.co https://api.stripe.com https://www.google-analytics.com https://*.google-analytics.com https://*.analytics.google.com https://www.googletagmanager.com https://elevenlabs.io wss://elevenlabs.io https://*.elevenlabs.io wss://*.elevenlabs.io; worker-src 'self' blob:; frame-src 'self' https://js.stripe.com https://hooks.stripe.com https://www.youtube-nocookie.com https://www.youtube.com https://player.vimeo.com https://www.loom.com https://www.dailymotion.com https://platform.twitter.com; frame-ancestors 'self' http://localhost:* https://o-mega.ai https://*.o-mega.ai https://founden.ai https://*.founden.ai https://*.founden.co https:/ |
| x-content-type-options | nosniff |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(), microphone=(self), geolocation=(), browsing-topics=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://aitraining.jobs/api/mcp | Verified | 200 | |
| http (plaintext) | http://aitraining.jobs/api/mcp | HTTPS enforced | 308 | https://aitraining.jobs/api/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_ai_training_market AI training job market ~103
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.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | ISO 3166-1 alpha-2 code (e.g. 'US', 'KE'): count only roles open to applicants in that country. |
No output schema declared.
No examples provided.
get_ai_training_pay AI training pay by kind of work ~70
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
search_ai_training_jobs Search AI training jobs ~255
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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'. |
No output schema declared.
No examples provided.
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.
remote · aitraining.jobs
claude mcp add --transport http jobs-aitraining-ai-training-jobs 'https://aitraining.jobs/api/mcp'
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.