Manufacturing & Industrial Engineering Expert

AuraOne Human Data; United States; Remote; USD 110,000 - 255,000; Full time

Job summary

AuraOne, Inc. seeks a Manufacturing & Industrial Engineering Expert for remote review work evaluating AI outputs across research workflows. You will reproduce key derivations and validations, flag errors, and document the correct methods so the modeling team can train on them.

This is a remote contractor role, US-eligible, with async hours. Ideal candidates have graduate-level training or equivalent experience in manufacturing IE, plus experience publishing or teaching the topic, and can commit

Qualifications

• Graduate-level training or equivalent applied experience in manufacturing industrial engineering research review or a closely related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• 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 manufacturing industrial engineering research review methods, conventions, and prior work for Manufacturing & Industrial Engineering Expert 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

Manufacturing IE review

Education

Graduate-level training or equivalent applied experience in manufacturing industrial engineering research review or closely related field

PhD, postdoc, or industry research experience in the topic area

Job description

Manufacturing & Industrial Engineering Expert is a remote review track for evaluating AI outputs across manufacturing industrial engineering research review 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

Manufacturing Industrial Engineering research review 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 manufacturing industrial engineering research review methods, conventions, and prior work for Manufacturing & Industrial Engineering Expert 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 manufacturing industrial engineering research review or a closely related field for Manufacturing & Industrial Engineering Expert 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 manufacturing industrial engineering research review 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
• Manufacturing Industrial Engineering research review

Work model

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

Compensation

$80- $185/hour