Job Description
Role Title: Claude Cowork User
Role Type: Contractor
Location: Remote
micro1 is engaging Claude Cowork Users to participate in a customer's project focused on advancing the development and application of AI coding agents in real-world STEM environments. 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. The opportunity is tailored for professionals who have practical, hands-on experience utilizing AI coding tools in complex technical scenarios and can clearly articulate their workflows, problem-solving methods, and the impact of AI agents on their projects.
Scope of Work
- Submit high-quality, detailed examples of real-world technical challenges where AI coding agents were instrumental to your workflow.
- Describe, in writing and/or verbally, the specific tools, strategies, and decision-making processes used to deploy AI agents in STEM environments.
- Demonstrate how you approached complex scenarios—such as navigating large codebases, debugging, or making architectural changes—leveraging AI assistance.
- Participate in interactive sessions or research studies evaluating the practical effectiveness of AI agents in technical problem-solving.
- Provide candid feedback and insights on current AI coding tools, highlighting both strengths and areas for improvement based on your experience.
- Collaborate with project facilitators to refine agent-guided workflows for greater technical accuracy and usability.
Preferred Qualifications
- Active professional experience in a STEM field, regularly engaging with real-world coding, data, or engineering challenges.
- Demonstrated expertise in applying AI coding agents and related tools for purposes extending beyond basic code generation or autocomplete.
- Strong written and verbal communication skills for clearly describing technical concepts, workflows, and tool usage.
- Proven ability to solve ambiguous and complex technical issues, with examples of end-to-end feature development or architectural problem-solving using AI agents.
- Familiarity with navigating and understanding large, intricate codebases or technical systems.
- Capacity to collaborate with others, share constructive critiques, and adapt suggestions for AI tool improvement.
- Interest in contributing to the evolution of next-generation AI systems by sharing real-world insights and feedback.
Originally posted on Himalayas
