The work
You will create realistic software projects and structured development challenges that other engineers can run and evaluate consistently. The work covers multi-file codebases, clear technical documentation, containerized setups, and reliable automated testing.
- Develop full-stack software projects that reflect realistic engineering environments.
- Architect or maintain multi-file codebases using sound engineering practices.
- Create structured development challenges with clear, detailed documentation.
- Build deterministic test suites that check correctness and reproducibility.
- Use Docker or similar tools to containerize tasks for consistent execution.
- Apply testing frameworks, build tools, and code-quality workflows where they fit.
What it pays and takes
The role requires practical software development and testing skills, careful documentation, and the ability to create setups that other engineers can reproduce.
- Pay: $75 per hour.
- Location: Remote, open only to candidates in the countries listed for this role.
- Language: Fluent English.
- Programming: Proficiency in at least one modern language, such as JavaScript, TypeScript, Java, Go, Rust, C, or C++.
- Experience: Architecting or maintaining multi-file software projects.
- Tools: Hands-on experience with Docker or similar containerization technology.
- Skills: Technical writing, documentation, reproducible development setups, and reliable automated tests.
- Helpful background: Full-stack or end-to-end application development, testing frameworks, build tools, or established code-quality workflows.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training and data-labeling work is the human side of building artificial intelligence. People create and review examples, test model behavior, and evaluate software so AI systems can become more useful and reliable; OpenTrain is a platform where people find these projects and start their applications.