STEM AI Agent Research Specialist

Micro1; India; Remote; INR 689,000 - 1,515,000; Part time

Job summary

micro1 is seeking a STEM AI Agent Research Specialist for a remote contractor project. You will review and analyze historical session traces from local or agentic AI tools used in rigorous STEM research, focusing on multi-step reasoning and human guidance.

Ideal candidates have an advanced STEM background, hands-on experience with AI tools, and strong ability to document methodologies and insights for project deliverables.

Qualifications

• Advanced academic or professional STEM background.
• Experience using local or agentic AI tools for research projects.
• Access to historical session data involving STEM workflows.
• Strong skills in scientific reasoning, technical research, data analysis, code debugging, and research documentation.
• Excellent written and verbal communication skills for clear technical documentation and feedback.

Responsibilities

• Review and curate historical session traces from AI tools.
• Analyze depth and integrity of AI-assisted problem-solving.
• Document research methodologies, problem-solving approaches, and human intervention points.
• Evaluate effectiveness and limitations of agentic AI tools in STEM contexts.
• Produce clear explanations outlining session processes, outputs, and validation steps.
• Provide constructive feedback on AI performance, accuracy, and reasoning.

Skills

Scientific reasoning

Technical research

Data analysis

Verbal communication

Education

STEM degree

Tools

Claude Code

Codex

Claude for Life Sciences

OpenCode

Job description

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.

Important: This role requires hands-on experience using local agentic AI tools to support STEM workflows (e.g., research, coding, analysis, experimentation, or technical problem-solving). Candidates without practical experience using these tools may not be a strong fit for this project.

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.