Software Engineer for AI Training (Code Quality & Debugging Focus)

Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who wants to help shape the future of AI?

We collaborate with leading AI organizations to train large language models—teaching them how to write, review, and debug code like the best engineers in the world. Our projects focus on helping generative AI improve its understanding of software development practices, coding standards, debugging techniques, and collaborative engineering workflows.

This is a rare opportunity to put your engineering expertise to work in training cutting-edge AI systems—no prior experience with AI is required.

About the opportunity:

• Outlier is looking for exceptional software engineers to help train generative AI models.
• This freelance role is fully remote and offers flexible hours—you can work whenever works best for you.

You may contribute your expertise by…

• Creating and answering technical questions about software engineering concepts, coding best practices, and debugging strategies to help train AI models
• Reviewing and evaluating code generated by AI in languages such as JavaScript, Python, Go, Java, TypeScript, and C++
• Analyzing code quality, maintainability, and adherence to real-world engineering standards
• Providing expert-level feedback on version control workflows, collaborative coding practices, and effective debugging techniques

We’re looking for people with…

• Proficiency in at least two of the following languages: JavaScript, Python, Go, Java, TypeScript, or C++
• Professional experience building and maintaining production-grade software repositories
• Strong knowledge of Git (or similar version control systems), including experience with branching, merging, and collaborative development workflows
• Hands-on experience conducting code reviews, debugging complex issues, and analyzing large codebases
• Outstanding attention to detail and ability to clearly communicate technical feedback and coding best practices

Payment:
Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.