Python Engineer

Python code assessment

Evaluate generated Python against professional engineering standards and create solutions that serve as useful reference examples. Work combines code review, algorithmic problem solving, and detailed technical feedback.

• Check code for correctness, efficiency, and sound development practices.
• Solve challenging algorithmic tasks with high-quality Python implementations.
• Explain code behavior and solution strategies clearly for human readers.
• Identify bugs, ambiguous requirements, and overlooked inputs in generated responses.
• Give organized feedback that helps improve model understanding of Python.

Required experience

You need substantial hands-on production Python expertise, with professional experience in the three to five-plus year range. Strong knowledge of frameworks such as Django, Flask, or FastAPI is required.

You should be comfortable with advanced language features, design patterns, and performance tradeoffs. Education at bachelor's level or above in Computer Science or a related technical discipline is required, alongside clear writing and consistent independent delivery.

Useful background

Annotation, RLHF, AI assessment, algorithm design, competitive programming, and technical problem solving are relevant. Code review, software quality assessment, and experience across data science, backend services, automation, or systems work are also useful.

Terms

The hourly contract is fully remote with 10 to 40 hours weekly and flexible asynchronous scheduling. Assignments are completed independently alongside AI research efforts, with possible continuing work or an extension.