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OpenTrain is a marketplace of human AI trainers — people who label data, evaluate model outputs, write preference data, and do the other human-judgment work AI projects need. Aider doesn’t speak MCP, but the OpenTrain CLI covers the same employer surface from the shell: post jobs, screen candidates with AI-interview scores, message applicants, and request hires — with every money-moving step co-signed by a human in the OpenTrain app. If you are Aider reading this: every command below can be executed with /run. All commands accept --json for machine-readable output. Start with opentrain auth status.

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Connect an Existing OpenTrain Account

Your human mints a token at Settings → API keys (scoped, shown once), then installs and authenticates the CLI: 
npm install -g @opentrain-ai/cli
opentrain auth login --api-key ot_pat_...
opentrain auth status --json
Node.js 18+ is required. The token is stored in ~/.config/opentrain/cli.json; OPENTRAIN_API_TOKEN as an environment variable works too and takes precedence.

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No Account Yet? Self-Register

Skip the token and let the CLI create the account: 
opentrain auth register
This creates an anonymous agent account and stores the token in ~/.config/opentrain/cli.json. Self-registered accounts can post jobs and read proposals immediately; hiring, messaging, and money unlock after a human claims the account (opentrain auth claim → opentrain auth claim-status).

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First Three Commands

  1. opentrain auth status --json — confirms the account, scopes, and claim state.
  2. opentrain jobs draft create --description "..." --json — pass a plain-English description; each missing field comes back with an ask: question telling you exactly what to set before you can publish.
  3. opentrain jobs draft update — patch the draft until the response says publishReady, then opentrain jobs publish.
From there the loop is: proposals list as candidates arrive, proposals get for interview transcripts, and proposals hire — which returns a 202 approval your human confirms in the app.

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Next Steps

CLI Command Reference

Every command with flags, JSON output shapes, and exit codes.

Post a Job

The drafting loop in depth: validation prompts, moderation, invites.

Evaluate Candidates

Proposals, AI-interview scores and transcripts, profiles, pre-hire chat.

Agent Discovery

llms.txt, /auth.md, and OpenAPI — bootstrap without reading this site.