Job Description
Role Title: STEM AI Agent Research Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging STEM AI Agent Research Specialists to contribute to a customer's advanced AI training project. 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. This engagement focuses on reviewing and analyzing historical session traces from local or agentic AI tools used in rigorous STEM research or technical problem-solving. Strong written and verbal communication skills are essential, as you will assess, document, and articulate technical processes and insights for project deliverables.
Scope of Work
- Review, curate, and submit historical session traces from local or agentic AI tools (e.g., Claude Code, Claude Cowork, Codex, Claude for Life Sciences, OpenCode) demonstrating substantive STEM research or technical workflows.
- Analyze and validate the technical depth and integrity of AI-assisted problem-solving, ensuring sessions involve multi-step reasoning and authentic human guidance.
- Document research methodologies, problem-solving approaches, and points of human intervention within session traces.
- Evaluate the effectiveness and limitations of agentic AI tools in STEM research contexts, highlighting areas for improvement or model training.
- Produce clear, concise written explanations outlining session processes, outputs, and validation steps.
- Provide constructive feedback on the AI’s performance, accuracy, and reasoning based on professional STEM experience.
Preferred Qualifications
- Advanced academic or professional background in a STEM field (science, technology, engineering, or mathematics).
- First-hand experience using local or agentic AI tools for research or technical projects, beyond web-based chatbots.
- Access to and familiarity with historical session data involving STEM or technical workflows.
- Strong skills in scientific reasoning, technical research, data analysis, code debugging, and research documentation.
- Demonstrated ability to guide, challenge, and validate AI-generated outputs within complex problem-solving scenarios.
- Excellent written and verbal communication skills for clear technical documentation and feedback.
- Experience with AI evaluation, output validation, and iterative research methods is highly valued.
Originally posted on Himalayas
