Mechanical Engineering Expert (MSc. or PhD) — AI Technical Review

AuraOne, Inc.; United States; Remote; USD 83,000 - 131,000; Part time

Job summary

AuraOne, Inc. is seeking a Mechanical Engineering Expert (MSc./PhD) for AI Technical Review. This is a remote contractor role focused on evaluating AI outputs in mechanical engineering reasoning, calculations, and research workflows.

You will reproduce key derivations, validate methods, and document the correct approach so the modeling team can train on it. US-eligible and part-time availability is required.

Qualifications

• Graduate-level training or equivalent applied experience in mechanical engineering or a closely related field.
• Hands-on 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 Expert (MSc. or PhD) — AI Technical Review 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

Quantitative analysisMechanical engine

Education

Graduate-level training or equivalent applied experience in mechanical engineering or a closely related field for Mechanical Engineering Expert (MSc. or PhD) — AI Technical Review work.

Job description

Mechanical Engineering Expert (MSc. or PhD) — AI Technical Review 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 Expert (MSc. or PhD) — AI Technical Review 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 Expert (MSc. or PhD) — AI Technical Review 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 analysisMechanical engineering

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.

Graduate-level training or equivalent applied experience in mechanical engineering or a closely related field for Mechanical Engineering Expert (MSc. or PhD) — AI Technical Review 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.