Senior Software Engineer C++ LLM Evaluation

You will help create and evaluate coding tasks for large language models. The work uses real open-source repositories and software issues to test how well models understand, modify, and repair code.

• Analyze and triage GitHub issues in open-source libraries.
• Create verifiable software engineering tasks from repository histories.
• Set up and configure repositories, including Docker environments.
• Run and modify codebases locally to assess model performance on bug-fixing tasks.
• Review unit test coverage and software quality.
• Work with researchers to find repositories and issues that challenge LLMs.
• You may have the opportunity to lead a team of junior engineers.

This is a remote, part-time contractor role. The listing provides flexible weekly commitment options and is open to candidates in the countries below.

• Pay: The listing does not specify a rate.
• Time: 20 or more hours per week, with 20, 30, or 40 hour options.
• Location: Open to candidates in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Türkiye, and Mexico.
• Language: Fluent in English.
• Experience level: Entry level.
• Experience: At least 3 years of overall software engineering experience.
• Strong C++ experience.
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfort running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is helpful.
• Previous LLM research or evaluation work is helpful.
• Experience building or testing developer tools or automation agents is helpful.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human side of building artificial intelligence. People prepare tasks, review model answers, and test whether AI systems can handle real problems, while experienced software engineers bring the technical judgment needed to assess code accurately.