The work
You will review AI-generated C code, debugging answers, tests, technical explanations, and trainer QA work. Your reviews will help assess whether C training content is correct, safe, clear, portable, and aligned with its rubric.
You will also support contributors and improve the review process by documenting recurring issues, updating guidance, and helping with onboarding and quality workflows.
- Check compile-time validity, runtime behavior, memory safety, pointer logic, portability, performance, readability, formatting, and instruction-following.
- Review pointers, arrays, memory allocation, structs, function pointers, file I/O, bitwise operations, tests, and algorithmic solutions.
- Identify memory leaks, use-after-free issues, invalid pointer arithmetic, race conditions, undefined behavior, and other correctness or safety problems.
- Flag unsafe, misleading, non-compilable, memory-unsafe, or non-production-ready C recommendations.
- Provide concise written feedback, monitor quality, escalate critical problems, and answer contributor questions.
- Maintain style guides, trackers, FAQs, examples, calibration tasks, quality documentation, and other review materials.
- Support contributor activation follow-up, onboarding, and communication about guideline changes.
What it pays and takes
This is a remote, part-time contractor role focused on candidates in the United States. The expected commitment is 20 or more hours per week.
- Pay: Up to $75 per hour.
- Location: Remote, with a United States hiring focus.
- Experience level: Intermediate.
- Strong C expertise and practical experience in systems programming, code review, quality assurance, or technical mentoring.
- Solid knowledge of compilation and linking, memory allocation, pointers, arrays, structs, function pointers, undefined behavior, file I/O, bitwise operations, and portability.
- Clear English communication skills and the ability to give concise technical feedback.
- Experience leading or supporting remote technical teams, or experience with AI training and rubric-based code review, is highly preferred.
- Helpful tools and background include GCC, Clang, MSVC, Make, CMake, GDB, LLDB, Valgrind, sanitizers, embedded toolchains, POSIX APIs, unit testing, GitHub, CI/CD, profiling, static analysis, Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. Because the partner title identifies this role as C Team Lead, review the duties and qualifications before applying to make sure they match your experience.
About AI training work
AI training is the human work behind systems that generate and understand code. Reviewers assess model outputs and provide clear feedback so future systems produce more accurate, safe, and useful results.