Coding Expert - C++

Coding Expert - C++ (Contract) Labelbox Remote (United States preferred) Shape the data that powers frontier AI Quick facts - Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min. 15 hrs/week)- Pay Range (US) - \$25 – \$100 per hour- Start Date - Rolling — staffed as projects launch What you’ll do - Review and assess AI-generated C++ code for accuracy, style, and efficiency.- Write robust C++ solutions across domains including algorithms, systems programming, and game development.- Create clear, human-readable summaries of your solutions and evaluation decisions.- Flag edge cases and provide constructive feedback on ambiguous code scenarios. You’re a great fit if - Fluent in English with excellent technical writing skills.- Expertise in C++: Knowledge of modern C++ (C++11 and above), STL, OOP, memory management, and templates.- 3-5 years of experience in C++ domains such as systems programming, finance, or game engines is a plus.- Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred.- Bonus: Experience with data labeling, RLHF, or other AI training projects About the role - Flexible workload — work from anywhere, on your own schedule - High impact — your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership — know exactly what success looks like and have autonomy to deliver - Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process - Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.- Domain-specific Zara interview to assess your C++ expertise, including performance optimization (such as memory management and compiler optimizations), software design and architecture, and advanced C++ features like templates, concurrency, and metaprogramming. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.