C++ QA Lead - Remote
About the 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++ 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.
Responsibilities
Quality monitoring: Spot-check C++ items, identify issues, provide feedback through DMs, and escalate recurring or critical quality problems.
Code review: Evaluate AI-generated C++ code, debugging responses, algorithmic solutions, tests, explanations, and performance recommendations.
Trainer/QA communication: Update contributors on Discord about guideline changes, workflow updates, and C++-specific review standards.
Question handling: Respond to questions around memory safety, compilation, templates, STL usage, concurrency, complexity, 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 covering project expectations, rubrics, and C++ quality standards.
Risk review: Flag unsafe, non-compilable, misleading, inefficient, or non-production-ready C++ recommendations.
Process improvement: Identify recurring quality gaps and build scalable QA processes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or equivalent professional software engineering experience.
- Strong grasp of English to follow guidelines and provide clear technical feedback.
- 3+ years of professional experience in C++ development, systems programming, performance engineering, embedded software, backend engineering, code review, QA, or technical mentoring.
- Strong understanding of modern C++ standards, RAII, smart pointers, templates, STL containers/algorithms, object lifetime, move semantics, concurrency, exceptions, memory management, and build systems.
- Ability to identify issues such as undefined behavior, memory leaks, dangling references, race conditions, inefficient algorithms, non-compilable code, hallucinated APIs, or incomplete explanations.
- Familiarity with CMake, GCC/Clang/MSVC, GDB/LLDB, sanitizers, Valgrind, GoogleTest, Catch2, Boost, 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, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and quality documentation.
- Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review is a strong plus.