Job Title: Physics Expert

Job Type: Contract

Location: Remote

About us:

micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.

Job Summary: 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.

Key Responsibilities:

Evaluate, curate, and annotate complex physics content to improve AI training datasets.
Create precise prompts, responses, and correction guidelines for various physics topics.
Assess and provide feedback on AI outputs for technical depth, accuracy, and clarity.
Collaborate with data scientists, engineers, and other subject matter experts to refine AI model performance.
Continuously update training materials to reflect advances in physics and AI best practices.
Contribute to quality assurance by identifying and correcting model errors in understanding physics concepts.
Document findings and effectively communicate project status and insights to the customer’s team.

Required Skills and Qualifications:

Advanced degree in Physics or a closely related field.
Proven expertise in a broad range of physics topics (e.g., classical mechanics, electromagnetism, quantum physics).
Exceptional written and verbal communication skills, with a keen attention to detail.
Demonstrated experience in technical content creation, reviewing, or education.
Ability to distill complex scientific concepts into clear, accessible language.
Experience collaborating in multidisciplinary, remote teams.
Strong analytical and problem-solving skills relevant to AI/data science projects.

Preferred Qualifications:

Previous experience working with or training AI/ML models, especially in educational technology domains.
Familiarity with AI prompt engineering or annotation tools.
Published research or public-facing science communication work.