Turing

Remote Python/Docker Engineer

RemotePakistanContract
$45 - $50 hourly
About the Job
Urgent hire: ASAP start, 4 week contract. Applications reviewed on a rolling basis, apply early.

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.
  • 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.

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).