About the role
Role Title: Codex User
Role Type: Contractor
Location: Remote
micro1 is engaging 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.
Scope of Work
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.
Preferred 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.
Originally posted on Himalayas