YO IT Consulting
C Quality Assurance Lead - Remote
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Job Description
Job Title: C Quality Assurance Lead
Job Type: Contract
Location: Remote
About This Role
In this hourly, remote contractor role, you will work as a C Quality Assurance Lead to oversee quality, consistency, and trainer performance across C programming AI training projects. You will review AI-generated C code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards.
You will assess work for code correctness, compile-time validity, runtime behavior, memory safety, pointer logic, portability, performance, debugging accuracy, readability, formatting, instruction-following, and rubric adherence. This role requires strong C expertise, English communication skills, attention to detail, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs.
Your C quality leadership will help ensure C training data is accurate, compilable, safe, efficient, clearly explained, and aligned with client expectations.
Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
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Your Profile
- 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.
- Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.
- 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.
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Key Responsibilities
- Quality monitoring: Spot-check C items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
- Code review: Evaluate AI-generated C code, debugging responses, pointer/memory examples, algorithmic solutions, tests, and technical explanations.
- Trainer/QA communication: Update contributors on Discord about guideline changes, workflow updates, and C-specific review standards.
- Question handling: Respond to questions around pointers, memory allocation, compilation, UB, portability, embedded constraints, testing, and rubric interpretation.
- Activation management: DM inactive contributors, track follow-ups, and flag availability issues.
- Documentation: Create and maintain C style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
- Onboarding: Run onboarding/training calls for C contributors.
- Risk review: Flag unsafe, non-compilable, misleading, memory-unsafe, or non-production-ready C recommendations.
- Process improvement: Identify recurring quality gaps and improve QA workflows.
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