Senior C++ Code Reviewer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people contribute to the development of next-generation AI systems.

This contractor opportunity lets experienced C++ professionals apply their software expertise to cutting-edge AI training work while working remotely on a flexible, part-time schedule.

• Contractor and part-time engagement
• $25 USD per hour
• 20+ hours per week
• Available to candidates in India, the Philippines, and Vietnam
• English-language work

About AI Training and Code Evaluation

AI training is the human side of building artificial intelligence. People review examples, evaluate model responses, and provide structured feedback so AI systems can become more accurate, useful, secure, and reliable.

In this role, your C++ expertise will help assess the quality of AI-generated programming responses. Your reviews and corrections will support the data used to train and evaluate next-generation AI models.

• Contribute to the development of advanced AI systems
• Use professional programming expertise in a data-focused environment
• Work remotely with a flexible weekly commitment

The Role

OpenTrain AI is seeking a senior C++ code reviewer with at least seven years of professional experience in C++ development, QA, or dedicated code-review roles. The project is focused on annotator reviews of AI-generated C++ code.

You will compile and run code snippets in sandboxed containers, verify that they satisfy the original prompt, test behavior across multiple build configurations, and assess performance and security. You will also correct inaccurate ratings, provide targeted feedback, and apply a consistent quality rubric.

• Review AI-generated C++ code and existing annotator evaluations
• Validate functionality, prompt compliance, performance, and security
• Identify undefined behavior, race conditions, memory leaks, and other defects
• Correct mis-ratings and provide concise, constructive feedback
• Help safeguard the quality of data used to train AI models

What You’ll Evaluate

Reviews should reflect expert-level understanding of modern C++ and reliable software engineering practices. You will examine code behavior, implementation quality, test results, build compatibility, and potential security risks.

• C++17, C++20, and C++23 features, including constexpr, ranges, and concepts
• STL, templates, move semantics, RAII, smart pointers, and memory management
• Threads, atomics, std::async, futures, and lock-free patterns
• Undefined behavior, race conditions, leaks, integer overflows, and buffer overruns
• Performance, cache-friendly design, SIMD or vectorization, and low-level tuning
• Cross-compiler behavior across GCC, Clang, and MSVC
• Prompt compliance and rubric-based review quality

Required Qualifications

This opportunity requires substantial professional C++ experience and the ability to independently validate code in controlled execution environments. Strong written English is also required for producing clear review feedback and mentoring peers.

• At least seven years of professional C++ development, QA, or dedicated code-review experience
• Expert knowledge of modern C++17/20/23 and the STL
• Proven ability to detect memory leaks, undefined behavior, and concurrency defects
• Advanced experience with GoogleTest or Catch2, sanitizers, Valgrind, gdb or lldb, and coverage tools
• Experience with profiling tools such as perf or VTune, cache optimization, SIMD, or vectorization
• Familiarity with C and C++ secure-coding issues, CWE or OWASP risks, and exploit mitigations
• Proficiency with CMake or Bazel, Dockerized toolchains, and CI/CD pipelines
• Comfort compiling and executing code in sandbox or container environments
• Experience with rubric-based scoring, checklist reviews, and ticketing or annotation tools
• Excellent written English at B2 or higher on the CEFR scale

Helpful Additional Experience

Experience in AI evaluation or data labeling is not required as the core qualification, but it can help you understand review workflows and model-quality objectives.

• LLM evaluation experience
• Experience with RLHF pipelines
• Previous AI or machine-learning data-labeling work
• Experience mentoring peers on software development best practices

Schedule and Application

This is a remote, part-time contractor opportunity requiring a commitment of at least 20 hours per week. The role is open to candidates located in India, the Philippines, or Vietnam.

Create a free OpenTrain account and apply in minutes. If selected, you will use your C++ expertise to help improve how AI systems understand and generate production-quality code.

• Minimum commitment: 20+ hours per week
• Work arrangement: Remote
• Contract type: Contractor
• Payment: $25 USD per hour
• Eligible countries: India, Philippines, and Vietnam
• Application language: English