Mechanical Engineering AI Evaluator

AuraOne, Inc.; United States; Remote; USD 34,000 - 83,000; Full time

Job summary

AuraOne, Inc. seeks a Remote Mechanical Engineering AI Evaluator to review model outputs, reproduce key derivations, and document correct methods for training data creation.

This contractor role requires rigorous reasoning and task-based collaboration to ensure methodological integrity across mechanical engineering tasks. You will work asynchronously, contributing at least 10 hours per week, and be authorized to work from the United States.

Qualifications

• Graduate-level training or equivalent applied experience in mechanical engineering or a closely related field for Mechanical Engineering AI Evaluator 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.

Responsibilities

• Review AI outputs against current mechanical engineering methods, conventions, and prior work for Mechanical Engineering AI Evaluator 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

Mechanical engineering

Science and advanced mathematics

AI evaluation

Rubric writing

Expert review

Education

Graduate-level training in mechanical engineering or related field

Job description

Mechanical Engineering AI Evaluator is a remote review track for evaluating AI outputs across mechanical engineering 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

Mechanical engineering 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 mechanical engineering methods, conventions, and prior work for Mechanical Engineering AI Evaluator 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 mechanical engineering or a closely related field for Mechanical Engineering AI Evaluator 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 mechanical engineering 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
• Mechanical engineering
• Science and advanced mathematics
• AI evaluation
• Rubric writing
• Expert review

Work model

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

Compensation

Hourly rate confirmed after the interview process.