Software Engineer with Python & Docker experience
Quick facts
- Type
- Part-time
- Location
- Remote
- Skills
- Python, Django, Docker
- Platform
- Turing — 255 open jobs
- Typical pay at Turing
- $15–20/hour · median $15 (16 jobs on our site)
- Apply
- Free to apply — never pay to get AI training work
This role is also open in other regions
Build Python backend applications that replicate existing SaaS tools.
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: Python, Docker
About Turing
Turing started as a marketplace for remote software engineers and now focuses on training and evaluating AI models for frontier labs. Most listings are for developers who write, review and debug code used to improve LLM coding ability.