Software Engineer with Python & Docker experience
Summary
Contractor building Python backends that emulate SaaS tools (Slack, Linear, Jira, Notion) for Turing's frontier AI training-data initiative, or authoring and QA-ing long-horizon tasks for AI agents. Day-to-day work uses Docker, Git, REST APIs, FastAPI/Flask/Django, microservices, and AI coding assistants such as Claude Code or Cursor.
Urgent hire: LATAM and Mexico Only.
ASAP start, 2 to 4 weeks 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)
- 3+ years 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)