Python engineers evaluate AI-generated code for correctness and best practice, and solve algorithmic problems as reference answers. It suits experienced Python developers who explain code logic clearly.
About the role
Python Engineer (AI Training)
About the Role
What if your Python expertise could directly influence how AI writes code for millions of developers around the world? We're looking for experienced Python Engineers to evaluate AI-generated code, solve complex algorithmic challenges, and help ensure the next generation of AI coding tools meets the standards of real production engineering.
This is a fully remote, flexible contract role built for senior Python developers who want meaningful, high-impact work alongside the world's leading AI research labs — on their own schedule.
- Organization : Alignerr
- Type : Hourly Contract
- Location : Remote
- Commitment : 10–40 hours/week
- Commitment : 10–40 hours/week
- Review and evaluate AI-generated Python code for correctness, efficiency, and adherence to professional best practices
- Solve complex algorithmic problems and develop high-quality Python solutions that set the benchmark for AI outputs
- Write clear, human-readable explanations of code logic and problem-solving strategies
- Identify edge cases, bugs, and ambiguities in AI-generated responses
- Provide structured, detailed feedback that directly improves how AI models understand and write Python
- Work independently and asynchronously — fully on your own schedule
- Work independently and asynchronously — fully on your own schedule
- Deep, hands-on expertise in Python — you've written production-level code and it shows
- 3–5+ years of professional Python development experience
- Strong command of modern Python frameworks including Django, Flask, or FastAPI
- Comfortable with advanced language features, design patterns, and performance considerations
- Excellent written communicator — you can explain complex technical concepts clearly and concisely
- Bachelor's degree or higher in Computer Science or a related technical field
- Self-motivated and consistent when working independently
- Self-motivated and consistent when working independently
- Prior experience with data annotation, RLHF, or AI evaluation workflows
- Background in algorithm design, competitive programming, or technical problem-solving
- Familiarity with code review processes or software quality evaluation
- Experience working across multiple domains of Python — data science, backend, automation, or systems
- Experience working across multiple domains of Python — data science, backend, automation, or systems
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Make a direct, tangible impact on how AI understands and generates code at scale
- Potential for ongoing work and contract extension as new projects launch
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