Computer Science (STEM)

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)

Where you can work

This role is 100% remote: you can work from anywhere in the world.