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).

Turing

Remote Python/Docker Engineer

About the Job