Senior Python AI Response Reviewer

You will evaluate AI-generated Python solutions and technical explanations. Your reviews will help assess whether responses are correct, clear, efficient, well designed, and faithful to the prompt.

• Review Python solutions and technical explanations written by AI.
• Assess correctness, code quality, performance, and prompt adherence.
• Find logic, architecture, methodology, and implementation errors.
• Fact-check technical information and improve explanatory clarity.
• Write reference content and exemplary solutions that show strong software engineering practices.
• Rate and compare AI responses based on reasoning quality and implementation soundness.

This is an expert-level, part-time contractor role for someone with substantial professional software engineering experience and deep Python knowledge.

• Pay: $60 per hour.
• Time: 20+ hours per week.
• Open to candidates in Bangladesh, Bhutan, Brazil, Cambodia, China, Germany, Hong Kong, India, Indonesia, Macao, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Taiwan, Thailand, the Philippines, Timor-Leste, the United States, and Vietnam.
• Language: C1 English and C1 Chinese proficiency.
• Education: Bachelor's degree or higher in Computer Science, Software Engineering, Mathematics, or a closely related technical field.
• Experience: 7+ years of professional software engineering experience with significant hands-on Python production experience.
• Technical knowledge: Python language features, the standard library, and common ecosystems such as web frameworks, data tooling, or backend services.
• Strong understanding of algorithms, data structures, system design, and performance optimization in Python applications.
• Experience designing, reviewing, and improving high-quality Python codebases, including code review and mentoring.
• Comfort with version control, CI/CD pipelines, testing frameworks, and containerization technologies.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind modern AI systems. People review model responses, write examples, and rate quality so models can produce more useful and accurate results. Experienced contributors are needed for specialist work such as Python code review and technical evaluation.