> Markdown version of [/jobs/ext/3826238-claude-code-user-expert-remote](https://www.wearedevelopers.com/jobs/ext/3826238-claude-code-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). --- # Claude Code User Expert - Remote - **Company:** Yo Labs Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Contract - **Skills:** Artificial Intelligence, Data Analysis, Software Debugging, Software Engineering, Claude Code, AI Coding Agents, Agentic-AI, Code Restructuring - **Published:** October 18, 2026 - **Apply:** https://www.careerjet.com/jobad/us72681d8e97724e12a5d48d893a12d86d ## About the Role We are seeking experienced Claude Code Users to support a project focused on advancing AI coding agents. You will share real-world experience using AI coding tools for complex software development, debugging, feature development, and architectural changes. No prior AI training experience is required., Current STEM or software professional with hands-on experience using AI coding agents. Experience using AI tools for complex debugging, feature development, and architectural refactoring. Strong technical problem-solving and workflow documentation skills. Excellent written and verbal communication. Ability to explain complex technical processes clearly. Experience working with technical and non-technical stakeholders. Ability to work independently in a remote environment. Preferred Qualifications Extensive experience with Claude Code or similar AI coding tools. Experience applying AI agents to large codebases and open-ended technical challenges. Familiarity with emerging AI coding practices and evaluation methods. ## Description Document real-world workflows using Claude Code and AI coding agents. Share examples of large codebase navigation, advanced debugging, and architectural refactoring. Provide step-by-step approaches for end-to-end feature development and ambiguous technical problems. Evaluate the strengths and limitations of AI coding agents using practical, data-driven insights. Provide written and verbal feedback to improve AI coding systems. Participate in interviews, surveys, and knowledge-sharing sessions. Communicate technical workflows and AI-enabled solutions to stakeholders.