Remote Physics AI Evaluation Specialist

AuraOne; United States; Remote; USD 55,000 - 83,000; Full time

Job summary

AuraOne is seeking a Physical Sciences Research Assistant for a Remote AI Evaluation track. You will review AI outputs in physics, reproduce key derivations, and document correct methods to help train modeling systems.

This contractor-style role emphasizes rigorous reasoning and thorough rubric-based assessments. Ideal candidates combine graduate-level physics background with professional experience, strong written communication, and reliable part-time availability to support US-based projects

Qualifications

• Graduate-level training or equivalent applied experience in physics or a closely related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against physics methods, conventions, and prior work for Remote AI Evaluation assignments.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture the corrected reasoning or worked example so the modeling team can train on it.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Physics

Education

Graduate-level physics training

Job description

AuraOne is seeking a Physical Sciences Research Assistant for a Remote AI Evaluation track. You will review AI outputs in physics, reproduce key derivations, and document correct methods to help train modeling systems.

This contractor-style role emphasizes rigorous reasoning and thorough rubric-based assessments. Ideal candidates combine graduate-level physics background with professional experience, strong written communication, and reliable part-time availability to support US-based projects