Codex User

Skills

About this role

Codex Users to contribute specialized expertise to a high-impact customer project focused on advancing real-world AI coding agent capabilities. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

AI Coding Agents, Codex, GitHub Copilot, Debugging, Large Codebase Navigation

Responsibilities

• Contribute detailed technical insights and real-world examples of using AI coding agents, such as Copilot, for complex software development workflows.
• Describe and document nuanced use cases where AI agents assisted in navigating large codebases, debugging challenging issues, or implementing architectural changes.
• Provide comprehensive walkthroughs of end-to-end feature development or ambiguous technical problem-solving using AI tools.
• Explain your decision-making process, the tools utilized, and the specific ways AI agents enhanced your productivity or code quality.
• Submit structured feedback and assessments on the practical effectiveness of different AI coding agent features and suggestions for improvement.
• Collaborate asynchronously with micro1 and project stakeholders through clear, professional written and verbal communication.

Qualifications

• Current STEM professional actively utilizing AI coding agents as part of daily technical work.
• Proven ability to apply AI agents to sophisticated programming challenges, including but not limited to large codebase navigation, debugging, or architectural refactoring.
• Demonstrated experience providing detailed technical documentation or feedback in a collaborative environment.
• Strong written and verbal communication skills, with a particular emphasis on clarity and thoroughness.
• Familiarity with multiple AI coding tools and a clear understanding of their limitations and strengths.
• Experience in a remote collaboration context and comfort working asynchronously across distributed teams.