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Computer Science (STEM)

Turing
Remote, USA
Contract
Mid · 3+ years experience
Remote
Discovered 1 months ago
PythonFastAPIFlaskDjangoGitDocker

Full Job Posting

Engagement details

Engagement type: Contractor, pay per task

Payment: $300 per approved task

Commitment: Minimum of 1 completed and approved task per day

No cap on tasks: Complete as many as you can until the pipeline is exhausted

Duration: 4 weeks, starting immediately

About Turing & Role

Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent. We are staffing a frontier AI data initiative building the infrastructure and training data used to develop and evaluate AI agents. You will be assigned to one of two tracks: connectors or tasks.

Responsibilities

  • Use AI coding agents throughout development, QA, and validation
  • Participate in onboarding, calibration, and quality reviews; deliver to the quality bar on agreed milestones
  • Project runs on two tracks:
  • Connecters track: Build Python backend applications that replicate existing SaaS tools (Slack, Linear, Jira, Notion, Gmail, wikis) Test and validate connectors so each behaves faithfully like the system it emulates; extend existing connectors and build new ones within agreed timeframes.
  • Build Python backend applications that replicate existing SaaS tools (Slack, Linear, Jira, Notion, Gmail, wikis)
  • Test and validate connectors so each behaves faithfully like the system it emulates; extend existing connectors and build new ones within agreed timeframes.
  • Task track: Mine data and workflows to identify candidates for long-horizon task development, and author realistic tasks from them Verify task quality, realism, and correctness through structured QA; write evaluation rubrics defining correct, partially correct, and deficient work
  • Mine data and workflows to identify candidates for long-horizon task development, and author realistic tasks from them
  • Verify task quality, realism, and correctness through structured QA; write evaluation rubrics defining correct, partially correct, and deficient work

Requirements

  • 3+ years of backend development experience with strong Python (FastAPI, Flask, or Django)
  • Git, Docker, and pipeline basics, with solid testing and code-quality practices
  • Experience building scalable backends, REST APIs, and microservices
  • Daily use of AI coding assistants (Claude Code, Codex, Cursor, GitHub Copilot, or similar)

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