AI Data Annotator (Code-Quality)

AI Data Annotator (Code-Quality)

Posted Today by hackajob

Negotiable
Undetermined
Remote
United Kingdom

Summary: The AI Data Annotator (Code-Quality) role at Outlier AI involves creating and answering technical questions related to software engineering to enhance AI models. The position requires reviewing AI-generated code across various programming languages and providing expert feedback on coding practices and version control workflows. The ideal candidate will have a strong educational background in a relevant field and professional experience in software development. This role emphasizes reliability, transparency, and flexibility in a remote work environment.

Key Responsibilities:

  • Creating and answering technical questions about software engineering concepts, coding best practices, and debugging strategies.
  • 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.

Key Skills:

  • 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.

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

hackajob is collaborating with Outlier AI to connect them with exceptional tech professionals for this role. 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.