The work
You will assess AI-generated code and other software engineering materials using project guidelines. Your reviews will help AI systems learn from code examples and clear, evidence-based feedback.
- Review source materials and model outputs against project guidelines.
- Apply project rubrics and document evidence-based judgments.
- Explain your judgments clearly so the feedback can improve model behavior.
- Maintain consistent, high-quality reviews across repeated tasks.
What it pays and takes
- Pay information is not provided.
- Time commitment: 20 or more hours per week; the schedule is described as flexible.
- Location: Open to candidates in the United States.
- At least 3 years of software engineering experience.
- Strong skills building full-stack applications with Python and JavaScript, including React and Node.js, and working across backend and frontend codebases.
- Experience deploying scalable, production-grade software with modern languages and tools.
- A deep understanding of software architecture, design, development, debugging, and code quality review.
- Clear spoken and written English for explaining evaluation judgments.
- Graduates of Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, or comparable programs are welcome; strong experience and skills take priority over school background.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.