Condensed Matter Physicist (PhD) - AI Research Evaluation

AuraOne, Inc.; United States; Remote; USD 110,000 - 152,000; Full time

Benefits offered by this job

Remote - US eligible

Job summary

AuraOne, Inc. seeks a Condensed Matter Physicist (PhD) for AI Research Evaluation, reviewing physics reasoning and derivations in model outputs. You reproduce key steps and document the correct methods to train the modeling team.

This remote contractor role requires disciplined, high-precision analysis and clear written explanations. Applicants should have graduate-level physics training, publication or advising experience, and the ability to apply rubrics across long batches with async

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.

Responsibilities

• Review AI outputs against current physics methods and standards.
• Reproduce or sanity-check key derivations, calculations, or claims.
• Flag dimensional, methodological, and citation errors with structured tags.
• Capture corrected reasoning or worked examples for training data.
• Adjudicate disputed answers using textbooks or community standards.
• Maintain reviewer-quality scores in calibration cycles.

Skills

Physics expertise

Academic publishing

Clear written reasoning

Async availability

Education

PhD in Physics

Job description

Condensed Matter Physicist (PhD) - AI Research Evaluation is a remote review track for evaluating AI outputs across physics reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

Why this role matters

Physics models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would - checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one.

Responsibilities

• Review AI outputs against current physics methods, conventions, and prior work for Condensed Matter Physicist (PhD) - AI Research 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.

Qualifications

• Graduate-level training or equivalent applied experience in physics or a closely related field for Condensed Matter Physicist (PhD) - AI Research Evaluation work.
• 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.

Example tasks

• Reproduce a physics derivation from a model output and flag any algebraic or dimensional errors.
• Grade a model's literature summary against the cited papers and rate the citation quality.
• Adjudicate a disputed answer between two reviewers using textbook methods.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Nice to have

• PhD, postdoc, or industry research experience in the topic area.
• Prior work reviewing AI-assisted research tooling and its failure modes.
• Multilingual fluency for non-English papers and corpora.

Skills

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• Physics

Work model

Remote - US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

$80-$110 / hr

Graduate-level training or equivalent applied experience in physics or a closely related field for Condensed Matter Physicist (PhD) - AI Research Evaluation work. 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.