Software Engineer with Python & Docker experience

About this role

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)

Skills & domains

• ai-training
• software-development