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AI Training Jobs

REMOTE · AITRAININGJOBS.XYZ

Search open AI training jobs from 14 vetted platforms by field, country and pay, with honest rates.

68 Trust /100

Last scanned (3 hours ago)

Scores higher than 53% of remote servers

Reachable. Last reached 5 Nov 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

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
Transport & Reachability100
Schema Quality & AI Usability61
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1052 tokens (~210/item across 5 items; 5 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 Management10
  • Stability observed for 3 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; "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 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

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
    • Stability: unverified → 0.03 ▲ functional
  • 2 Nov 26 67

    First indexed and scored.

Diagnostics

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 5 Nov 2026 · Probed https://aitrainingjobs.xyz/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=aitrainingjobs.xyz CN=WE1,O=Google Trust Services,C=US 21 Oct 2026 19 Jan 2027 ECDSA 256 ECDSA-SHA256 ed92cf41be3f2ca13444879c6cf232b
SANs: aitrainingjobs.xyz, www.aitrainingjobs.xyz, *.www.aitrainingjobs.xyz
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 aitrainingjobs.xyz. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
xyz. present 3599, 18130 8, 8 Verified
aitrainingjobs.xyz. 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://aitrainingjobs.xyz/mcp Verified 200
http (plaintext) http://aitrainingjobs.xyz/mcp HTTPS enforced 301 https://aitrainingjobs.xyz/mcp
MCP tools · 5 exposed · ~943 tokens

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 →

Tool Tokens
get_job ~55

Full details of one job: pay, who can apply, how the platform screens applicants, and the description. Pass the job url or slug from search_jobs.

NameTypeReqDescription
jobstringyesThe job url or slug from search_jobs.

No output schema declared.

No examples provided.

get_platform ~60

One platform in depth: how its screening works, tips, how and when it pays (from its own help pages, with sources), its official domain for spotting fakes, live job counts, pay and fields.

NameTypeReqDescription
platformstringyesPlatform slug.

No output schema declared.

No examples provided.

list_platforms ~44

Every platform listed, with open jobs, median top hourly rate, beginner-friendly roles and a one-line description. Use get_platform for how to get accepted and how it pays.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

pay_stats ~263

What AI training jobs pay, from live listings that state an hourly rate: 25th percentile, median, 75th and 90th percentile of top rates, with the platforms hiring most. Optionally for one field and/or one country (listings that name the country or say worldwide).

NameTypeReqDescription
countrystring–Where the person lives: a country name, slug or ISO code (e.g. "India", "united-states", "PH"). "any" turns the filter off.
fieldstring–Field of expertise: software (Engineers, data scientists, ML people); medicine (Physicians, nurses, dentists, clinicians); science (Physicists, chemists, biologists, engineers); math (Mathematicians,…

No output schema declared.

No examples provided.

search_jobs ~521

Search open AI training jobs (rating, writing and reviewing AI output, paid by AI labs) across vetted platforms. Filter by field, country, minimum hourly pay, platform, language and kind of data work. Returns each job with stated pay, who can apply and a url to its page (where the person applies).

NameTypeReqDescription
beginner_onlyboolean–Only roles that need no degree or specialist experience.
countrystring–Where the person lives: a country name, slug or ISO code (e.g. "India", "united-states", "PH"). "any" turns the filter off.
fieldstring–Field of expertise: software (Engineers, data scientists, ML people); medicine (Physicians, nurses, dentists, clinicians); science (Physicists, chemists, biologists, engineers); math (Mathematicians,…
languagestring–A language the role asks for, e.g. "Spanish".
limitinteger–Jobs to return, default 10.
min_hourly_usdnumber–Minimum top hourly rate in USD, e.g. 50.
offsetinteger–Skip this many, for paging.
only_named_countryboolean–With country: only listings that name the country or say worldwide. Default false also keeps listings that only say "Remote" (location not stated), listed after the ones that name it.
platformstring–Platform slug.
querystring–Words in the job title or platform name, e.g. "nurse", "Python", "Hindi".
sortstring–new (default) or pay (highest top rate first).
taskstring–Kind of data work the title names: rating (rate, rank and review AI answers); annotation (label images, video, audio and documents); collection (record voice, video or photos for training data); tran…

No output schema declared.

No examples provided.

Install

How do I install the AI Training Jobs MCP server?

AI Training Jobs is a hosted endpoint at https://aitrainingjobs.xyz/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 · aitrainingjobs.xyz

# add to Claude Code
claude mcp add --transport http xyz-aitrainingjobs-jobs 'https://aitrainingjobs.xyz/mcp'
Common questions

What is the AI Training Jobs MCP server?

AI Training Jobs is an MCP server listed in the public MCP registry as xyz.aitrainingjobs/jobs. Search open AI training jobs from 14 vetted platforms by field, country and pay, with honest rates. This page covers its hosted endpoint (https://aitrainingjobs.xyz/mcp).

Is the AI Training Jobs MCP server safe to use?

AI Training Jobs scores 68 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 AI Training Jobs MCP server expose?

AI Training Jobs exposes 5 tools: search_jobs, get_job, list_platforms, get_platform, pay_stats. Their descriptions and schemas cost roughly 943 tokens of context every time the server is loaded.

Does the AI Training Jobs MCP server require authentication?

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

Is the AI Training Jobs MCP server still maintained?

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.