Open-Source Engineer

You will create, solve, review, and validate software-engineering tasks used to train AI systems. The work covers front-end and back-end code, unfamiliar repositories, debugging, testing, and review of AI-generated patches.

Before applying, review the duties and qualifications to make sure they match your background and portfolio.

• Explore unfamiliar software repositories and trace data and execution across interfaces, services, libraries, APIs, databases, and external dependencies.
• Build and debug front-end and back-end components that fit existing architectures and contribution standards.
• Reproduce software issues, find their underlying causes, and implement solutions.
• Translate complete coding builds from one programming language into another.
• Write unit, integration, regression, and end-to-end tests.
• Review AI-generated patches for correctness, completeness, security, and maintainability.

This is a part-time contractor role for an open source contributor and software engineer. It is fully remote with flexible scheduling, including the option to work weekends when needed.

• Time: Approximately 15 hours per week, or less than 20 hours per week.
• Language: Professional fluency in English.
• GitHub: A public or otherwise verifiable GitHub profile with meaningful ownership of or contributions to one or more open-source repositories.
• Engineering background: Strong experience in front-end, back-end, full-stack, systems, developer tooling, infrastructure, or another substantial technical area.
• Programming: Experience with multiple languages such as TypeScript, JavaScript, Python, Java, Go, Rust, C++, C#, or Ruby.
• Portfolio: Substantive authored code, not only documentation updates, dependency changes, formatting work, or minor corrections.
• Technical ability: Understand and modify unfamiliar codebases.