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.

What it pays and takes

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.

• Pay: $100 to $150 per hour equivalent, paid per task that meets the project specifications.
• Time: Approximately 15 hours per week, or less than 20 hours per week.
• Location: remote, open to applicants in India and the United States.
• 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.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

About AI training work

AI training work uses examples prepared and reviewed by people to help artificial intelligence systems learn. Software engineers are needed to create coding examples, test model-generated code, and judge whether it is correct, secure, complete, and maintainable. OpenTrain helps people find these projects, build a profile, and apply in minutes.

Creating an OpenTrain account is free.