Senior Physics Adjudicator
$80 - $110/hour
pay
Required Skills
Recognized Subject Matter Authority
High-Level Scientific Judgment
Cross-Disciplinary Perspective
Leadership in Research Environments
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description

Job Title: Senior Physics Adjudicator

Job Type: Contractor/ Part-Time (10 hrs. a week)

Location: Remote

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:

• Serve as the recognized adjudicator for advanced physics problems within your subfield, delivering authoritative scientific judgments.

• Evaluate and resolve conflicting methodologies, results, or interpretations submitted for AI training purposes.

• Review and refine scientific content for clarity, accuracy, and consistency, ensuring alignment with best research practices.

• Provide detailed written and verbal feedback to improve AI model understanding and outputs.

• Draw on a cross-disciplinary perspective to inform adjudication and highlight nuances or alternate approaches.

• Collaborate with a global team of experts, sharing insights to advance the quality of training datasets.

• Maintain high standards of scientific rigor in all assessments, reflecting leadership and mentorship experience in research environments.

Required Skills and Qualifications:

• PhD in physics or senior PhD student (minimum), with ongoing research and publications in the relevant subfield.

• 2–5 recent (past 5 years) representative publications available via arXiv/DOI.

• Demonstrated expertise as a professor, industry research PI, or equivalent subject matter authority.

• High-level scientific judgment for evaluating edge cases and resolving disagreements.

• Broad cross-disciplinary awareness and understanding of alternative research standards.

• Strong leadership background in mentoring, reviewing, or directing research projects/labs.

• Proficiency in LaTeX, SymPy, Python, and Jupyter (please flag any gaps).

Preferred Qualifications:

• Experience adjudicating research disputes or peer-reviewing high-impact publications.

• Involvement in AI, machine learning, or computational modeling projects is a plus.

• Availability for a sustained commitment of approximately 10 hours per week over an 8–10 week period.

Additional Info:

Subfields of particular interest for this pilot include High Energy Physics/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter (including moiré systems, magnetic materials, PXP/Rydberg), AMO/Quantum Optics, Gravitation/Cosmology/Astrophysics, Quantum Information, and Optical Properties of Materials. Applicants should be based in the US, UK, or CA, though truly exceptional candidates from outside these locations may be considered. This is a unique opportunity to leverage your expertise within a pioneering AI training initiative as part of the customer's team.

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