The Work
You will review AI-generated code and solutions for dialog agent systems. The work focuses on Go programming, backend reliability, code correctness, and practical software development standards.
You will also help identify difficult coding issues, explain how implementations can improve, and support better engineering quality across systems used for education, entertainment, and general question answering.
- Review AI-generated Go code for quality and correctness
- Check generated code for accuracy, efficiency, and dependability
- Resolve difficult Go coding issues during AI validation
- Give clear, constructive feedback on implementation quality
- Work with cross-functional teams on system improvements
- Help maintain high standards for backend code
What It Pays and Takes
Pay details are not provided for this role. The position is part-time and requires at least 20 hours per week.
- Open worldwide
- At least 20 hours per week
- Professional fluency in English
- Strong knowledge of Go and software development best practices
- At least 3 years of relevant software engineering experience
- Bachelor's or master's degree in Engineering, Computer Science, or equivalent experience
- Strong problem-solving, critical thinking, and code-review judgment
- Ability to collaborate closely with developers and communicate clearly
- Experience with AI systems or code-creation technologies is valuable
- Experience contributing to public GitHub repositories is helpful
- Familiarity with large codebases and backend development is helpful
- Interest in collaborative AI dialogue systems is helpful
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that learn from examples, including reviewing code and evaluating model outputs. Software engineers are needed to judge whether generated code is correct, reliable, and useful so AI systems can improve.