Backend Developer AI Trainer (Python SaaS Connectors)
About the role
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.
What you'll do
- 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)
About Turing
Turing is an AI company based in San Francisco that works with the world's leading AI labs to make their models better at reasoning, coding, languages and more. It also helps businesses build real AI systems, and it works with talent from over 100 countries.
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