C Quality Assurance Lead - Remote
About the role
This role is a remote contractor position within a fast-growing AI Data Services company that delivers training data for major AI companies and foundation-model labs. The C Quality Assurance Lead oversees quality, consistency, and trainer performance across C programming AI training projects.
Responsibilities
Review AI-generated C code and trainer/QA work, evaluating output quality against project guidelines and providing precise written feedback.
Evaluate and address issues such as buffer overflows, memory leaks, use-after-free, undefined behavior, invalid pointer arithmetic, race conditions, non-compilable code, hallucinated APIs, or incomplete explanations.
Ensure contributors follow expected quality standards related to code correctness, compile-time validity, runtime behavior, memory safety, pointer logic, portability, performance, debugging accuracy, readability, formatting, instruction-following, and rubric adherence.
Update contributors on Discord about guideline changes, workflow updates, and C-specific review standards.
Respond to questions around pointers, memory allocation, compilation, undefined behavior, portability, embedded constraints, testing, and rubric interpretation.
DM inactive contributors, track follow-ups, and flag availability issues.
Create and maintain C style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
Run onboarding/training calls for C contributors.
Flag unsafe, non-compilable, misleading, memory-unsafe, or non-production-ready C recommendations.
Identify recurring quality gaps and improve QA workflows.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or equivalent professional experience.
Strong grasp of English to follow guidelines and provide clear technical feedback.
3+ years of professional experience in C programming, systems programming, embedded development, firmware, operating systems, performance engineering, code review, QA, or technical mentoring.
Strong understanding of pointers, arrays, memory allocation, structs, function pointers, preprocessor macros, header files, compilation/linking, undefined behavior, file I/O, bitwise operations, and portability.
Ability to identify issues such as buffer overflows, memory leaks, use-after-free, undefined behavior, invalid pointer arithmetic, race conditions, non-compilable code, hallucinated APIs, or incomplete explanations.
Familiarity with GCC/Clang/MSVC, Make/CMake, GDB/LLDB, Valgrind, sanitizers, embedded toolchains, POSIX APIs, unit testing frameworks, GitHub, CI/CD, profiling, and static analysis tools is preferred.
Experience leading or supporting remote teams of trainers, reviewers, engineers, coding mentors, or QAs is strongly preferred.
Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.
Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus.