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.
Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
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.