The work
You will review AI-generated Go code and solutions for quality, correctness, efficiency, and reliability. You will help improve backend components used in dialogue agent systems for education, entertainment, and general question answering.
The role combines detailed code review with hands-on problem solving. You will give clear feedback, resolve difficult Go issues during AI validation, and work with other teams to improve system quality.
- Review AI-generated Go code and solutions.
- Check code accuracy, efficiency, dependability, and adherence to software development best practices.
- Resolve difficult Go coding issues during AI validation.
- Give constructive feedback that improves engineering quality.
- Collaborate with cross-functional teams on system improvement.
- Help maintain strong standards for backend code quality.
What it takes
This role is listed as entry level and is also suited to candidates with substantial software engineering experience. You should be comfortable judging implementation quality, explaining technical feedback, and communicating clearly in English.
- Work commitment: 20+ hours per week.
- Location: Open worldwide.
- Language: Clear communication in English.
- Experience level: Entry level.
- At least 3 years of relevant software engineering experience.
- Strong knowledge of Go and software development best practices.
- Bachelor's or master's degree in Engineering, Computer Science, or equivalent experience.
- Strong problem-solving, critical-thinking, and code-review judgment.
- Experience with AI systems or code-creation technologies is valuable.
- Helpful background includes public GitHub contributions, large codebases, backend development, or collaborative AI dialogue systems.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work is the human work behind modern AI systems, including reviewing model outputs and checking whether generated code is correct and useful. People with software engineering experience are paid for applying their technical judgment to improve how these systems perform.