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.
Required skills
Git, Docker, and pipeline basics, with solid testing and code-quality practices.
Daily use of AI coding assistants (Claude Code, Codex, Cursor, GitHub Copilot, or similar).
Experience and education
3+ years of backend development experience with strong Python (FastAPI, Flask, or Django).
Experience building scalable backends, REST APIs, and microservices.
Schedule details
Urgent hire: ASAP start, 4 week contract. Applications reviewed on a rolling basis, apply early.
Commitment: Minimum of 1 completed and approved task per day.
Duration: 4 weeks, starting immediately.
Eligibility
Work arrangement: Fully remote
Compensation details
Payment: $300 per approved task.
No cap on tasks: Complete as many as you can until the pipeline is exhausted.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.