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.
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.
- Connecters track:
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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