> Markdown version of [/jobs/ext/4479731-codex-user-expert-remote](https://www.wearedevelopers.com/jobs/ext/4479731-codex-user-expert-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Codex User Expert - Remote - **Company:** Yo Labs Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Contract - **Skills:** Artificial Intelligence, Software Quality, Software Debugging, Microsoft Copilot, Software Engineering, GitHub Copilot, Claude Code, AI Coding Agents, Agentic-AI, Codebase, Code Restructuring - **Published:** October 18, 2026 - **Apply:** https://www.careerjet.com/jobad/usdc84ed66b7e93d48468a7954fefd8d57 ## About the Role Current STEM or software professional with hands-on experience using AI coding agents. Experience applying AI tools to complex programming tasks. Strong experience with debugging, large codebase navigation, and problem-solving. Ability to document technical workflows clearly and thoroughly. Strong written and verbal communication skills. Familiarity with multiple AI coding tools and their strengths and limitations. Ability to work independently in a remote, asynchronous environment. Preferred Qualifications Experience with tools such as Codex, GitHub Copilot, Claude Code, or similar AI coding agents. Experience with large-scale software projects or architectural refactoring. Strong technical documentation and evaluation skills. ## Description We are seeking experienced AI Coding Agent Users to support a project focused on improving real-world AI coding capabilities. You will document and evaluate how AI coding tools are used for complex software development, debugging, and codebase navigation. No prior AI training experience is required., Document real-world use cases involving AI coding agents such as Copilot and Codex. Share workflows for navigating large codebases, debugging, and architectural changes. Provide detailed walkthroughs of feature development and technical problem-solving. Explain tool selection, decision-making, and how AI agents improve productivity and code quality. Evaluate AI coding agent performance and provide structured feedback. Collaborate remotely with project stakeholders through clear technical communication.