Job at a glance
Software Engineer (Python & Docker) | $300/task | 4-Week Contract | Worldwide Remote Turing, one of the world's leading AGI infrastructure companies, is urgently hiring skilled Software Engineers for a 4-week contract supporting a frontier AI data initiative. This is a pay-per-task engagement with an ASAP start — applications are reviewed on a rolling basis, so apply early. Engagement Details Type: Contractor, pay per task Rate: $300 per approved task Commitment: Minimum 1 completed and approved task per day Task cap: None — complete as many tasks as the pipeline allows Duration: 4 weeks, starting immediately About the Role You will be embedded in a team building infrastructure and training data used to develop and evaluate AI agents.
Upon joining, you'll be assigned to one of two tracks: Connectors Track Build Python backend applications that replicate existing SaaS tools (Slack, Linear, Jira, Notion, Gmail, wikis) Test and validate connectors to ensure 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 Author realistic tasks and verify their quality, realism, and correctness through structured QA Write evaluation rubrics defining correct, partially correct, and deficient work Responsibilities Use AI coding agents throughout development, QA, and validation workflows Participate in onboarding, calibration, and quality reviews Deliver consistently to the agreed quality bar on all milestones Requirements 3+ years of backend development experience with strong Python skills (FastAPI, Flask, or Django) Proficiency with Git, Docker, and pipeline fundamentals; solid testing and code-quality practices Experience building scalable backends, REST APIs, and microservices Daily use of AI coding assistants such as Claude Code, Codex, Cursor, GitHub Copilot, or similar tools This is a high-velocity, short-term engagement ideal for experienced engineers who work efficiently and thrive in fast-paced, AI-driven environments.