AI Data Annotator (Code-Quality)

Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI. We believe AI can only perform as well as the data it’s trained on. That’s why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders.

We’ve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.

What you will be doing

• 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, Rust 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.

What we’re looking for

• Bachelor’s degree in CS, Data analysis, STEM or related field from top 200 global academic institutions.
• Proficiency in at least two of the following languages: JavaScript, Python, Go, Java, TypeScript, Rust, 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.