AITraining.jobs

Search open AI training jobs from 17 platforms and compare advertised hourly pay by kind of work.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
70%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~659Tokens (Tool-Definitionen)
~1.3 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.51% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "ai-training-jobs": {
      "url": "https://aitraining.jobs/api/mcp"
    }
  }
}

Remote-Endpunkte

https://aitraining.jobs/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (3)

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🟢search_ai_training_jobs(query, kind, platform, country, min_hourly_usd, ...)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Keywords matched against role titles, e.g. 'physician', 'Python', 'Spanish', 'lawyer'."
    },
    "kind": {
      "type": "string",
      "enum": [
        "rlhf-eval",
        "coding",
        "stem-math",
        "domain-expert",
        "agentic-eval",
        "data-labeling",
        "robotics-data",
        "multilingual",
        "audio-speech",
        "writing",
        "red-teaming",
        "research-studies"
      ],
      "description": "Kind of work. One of the listed slugs, e.g. 'coding', 'rlhf-eval', 'multilingual'."
    },
    "platform": {
      "type": "string",
      "description": "Platform slug, e.g. 'mercor', 'micro1', 'outlier-scale-ai'. get_ai_training_market lists them."
    },
    "country": {
      "type": "string",
      "description": "ISO 3166-1 alpha-2 code (e.g. 'US', 'IN', 'BR'): only roles open to applicants in that country."
    },
    "min_hourly_usd": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000,
      "description": "Only roles whose advertised hourly ceiling reaches this many US dollars."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 25,
      "default": 10,
      "description": "How many roles to return (1 to 25)."
    }
  },
  "additionalProperties": false
}
🟢get_ai_training_pay

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.

Eingabe-Schema

{
  "type": "object",
  "additionalProperties": false
}
🟢get_ai_training_market(country)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "country": {
      "type": "string",
      "description": "ISO 3166-1 alpha-2 code (e.g. 'US', 'KE'): count only roles open to applicants in that country."
    }
  },
  "additionalProperties": false
}

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