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# Claude Code User Expert - Remote

- **Company:** YO AI Labs View all jobs
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Data Analysis, Software Debugging, Software Tools, Software Engineering, Code Restructuring
- **Published:** August 22, 2026
- **Apply:** https://www.careerjet.com/jobad/useb23d6af3c738c13b6c01248ef778a33

## 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., Job Overview: Pay Range: $55.00hr - $60.00hr Requirement/Must Have: 8 to 15 years of experience. Deep EDI expertise to own the configuration, integration, and support of Blue…

 + 13 hours ago

## 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.


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