Aerospace Engineering Expert — AI Technical Review

AuraOne, Inc.; United States; À distance; USD 110 000 - 255 000; Temps partiel

Résumé du poste

AuraOne, Inc. seeks an Aerospace Engineering Expert for AI Technical Review. This remote contractor role involves evaluating model outputs, reproducing key derivations, and flagging errors to improve training data.

It requires graduate-level aerospace training and strong written reasoning, with at least 10 hours per week availability. Successful candidates will review methods against textbooks and papers, adjudicate disputed results, and maintain calibration scores across batches.

Qualifications

• Graduate-level training or equivalent applied experience in aerospace engineering or a closely related field for Aerospace Engineering Expert — 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.

Responsabilités

• Review AI outputs against current aerospace engineering methods, conventions, and prior work for Aerospace Engineering Expert — 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.

Connaissances

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Aerospace engineering

Formation

Graduate-level training in aerospace engineering

Description du poste

Aerospace Engineering Expert — AI Technical Review is a remote review track for evaluating AI outputs across aerospace 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

Aerospace 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 aerospace engineering methods, conventions, and prior work for Aerospace Engineering Expert — 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 aerospace engineering or a closely related field for Aerospace Engineering Expert — 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 an aerospace 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
• Aerospace engineering

Work model

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

Compensation

$80- $185/hour

Graduate-level training or equivalent applied experience in aerospace engineering or a closely related field for Aerospace Engineering Expert — 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.