About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents.
The platform provides frontier evaluations and reinforcement learning environments to improve LLM capabilities, along with contextual evaluations used to monitor and enhance AI agents in enterprise settings.
micro1’s ecosystem includes an AI recruiter agent, a scalable data production platform, and performance systems that ensure both quality and speed in AI training pipelines.
Role Overview
Join as a Physics Expert and contribute to improving AI systems’ understanding of complex physics concepts.
In this role, you will apply your expertise across multiple physics domains to evaluate, annotate, and refine technical content used in AI training. Your work will directly enhance the accuracy, reasoning, and clarity of physics-related AI outputs.
Key Responsibilities
- Evaluate and annotate complex physics content for AI training datasets
- Create prompts, model responses, and correction guidelines
- Assess AI outputs for accuracy, depth, and clarity
- Collaborate with data scientists, engineers, and domain experts
- Update training materials based on advances in physics and AI
- Identify and correct model errors in physics reasoning
- Document findings and communicate insights effectively
Required Skills & Qualifications
- Advanced degree in Physics or a related field
- Expertise across multiple physics domains (e.g., classical mechanics, electromagnetism, quantum physics)
- Strong written and verbal communication skills
- Experience in technical writing, teaching, or content review
- Ability to simplify complex scientific concepts
- Experience working in remote, collaborative environments
- Strong analytical and problem-solving skills
Preferred Qualifications
- Experience working with AI/ML systems or educational technology
- Familiarity with prompt engineering or annotation tools
- Published research or science communication experience
Work Details
- Fully remote role
- Project-based work with flexible scheduling
- Collaboration with multidisciplinary AI teams
Contract & Payment Terms
- Contract engagement
- Flexible remote work structure
Additional Notes
- Focus on improving AI accuracy in scientific domains
- Opportunity to contribute to cutting-edge AI and education technology