Search excessionlabs.ai, the site of Excession Labs, a security lab, and request a security test.
- Passed: Handshake
- Passed: Tools listed
- Passed: Updated recently
Median latency 71 ms · Last checked
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Evidence for your next connection.
Independent measurements of remote MCP servers. Every observation has a timestamp.
Read-only probesMCP server · Data access / search
Search open AI training jobs from 17 platforms and compare advertised hourly pay by kind of work.
1 failed · 8 not measured
Median of successful probes over 7 days
Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.
Tool definitions returned by this server
Independent monitoring
Outdated check
Last connection measurement is over 24 hours old. Current availability is unknown.
Last checked| Test area | Passed | Failed | Unmeasured |
|---|---|---|---|
ConnectionCan a client connect and discover tools? | 5 | 0 | 0 |
Reliability & speedDoes it respond consistently and quickly? | 0 | 0 | 4 |
Access & authenticationWhat is required to use this server? | 1 | 0 | 2 |
Tool qualityAre the tool definitions usable by an agent? | 4 | 0 | 0 |
Publisher identityCan the publisher be traced to its source? | 3 | 1 | 2 |
Unmeasured means there is not enough evidence to decide. How these checks work
Start using AITraining.jobs
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http aitraining-jobs https://aitraining.jobs/api/mcpCapabilities
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.
DiscoveredWhat 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.
DiscoveredOne AI training platform (for example Mercor, Outlier, DataAnnotation, Alignerr, Babel Audio, AfterQuery, micro1): its open roles and the pay they advertise now, whether it is legit (a researched review with its main risk, how it pays and worker ratings, where one exists), how to get accepted, who it suits, and a link to its page on AITraining.jobs.
DiscoveredFor teams building AI who need expert human data: AITraining.jobs runs expert evaluation, rubrics, preference (RLHF) data, fine-tuning data, RL environments, red-teaming and benchmarks with US professionals from its own network (physicians, nurses, attorneys, accountants, engineers, scientists, translators). Returns what it delivers, the network's live counts by field, what each kind of expert is paid for AI work today, how projects are priced and run, and the page to brief it. Optionally one field.
DiscoveredHiring radar, AITraining.jobs's dataset for investors: every AI-training role on the platforms' own job boards (Mercor, micro1, Appen, TELUS, Invisible and more) since its first read, one row per role with advertised pay, field, countries and open and close dates, plus each platform by day and a change log. Returns what it covers today, its files, who uses it, the price and how to get a sample.
DiscoveredSearch the open AI training jobs (paid work training and evaluating AI models) across 63 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.
DiscoveredRecent measurements
| Checked | Result | Response | Tools |
|---|---|---|---|
| Connected | 531 ms | 6 |