Remote Research Scientist — CS & Computational Physics

AuraOne; United States; Remote; USD 240,000 - 260,000; Full time

Job summary

AuraOne seeks a Research Scientist in Computer Science & Computational Physics to evaluate AI outputs in physics reasoning, calculations, and research workflows. This is a remote, contractor role; you will review derivations, reproduce results, and document methods for training the modeling team.

Ideal candidates have graduate-level physics training, strong writing, and the ability to apply rubrics asynchronously for at least 10 hours weekly.

Qualifications

• Graduate-level physics training or equivalent applied experience.
• Experience publishing, teaching, or advising on the topic at a professional level.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning citing methods, papers, or worked examples.
• Available asynchronously for at least 10 hours per week.

Responsibilities

• Review AI outputs against physics methods, conventions, and prior work for Research Scientist - Computer Science & Computational Physics assignments.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with 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 seeks a Research Scientist in Computer Science & Computational Physics to evaluate AI outputs in physics reasoning, calculations, and research workflows. This is a remote, contractor role; you will review derivations, reproduce results, and document methods for training the modeling team.

Ideal candidates have graduate-level physics training, strong writing, and the ability to apply rubrics asynchronously for at least 10 hours weekly.