Remote Manufacturing & Industrial AI Evaluation Expert

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

Job summary

AuraOne, Inc. is seeking a Manufacturing Industrial Engineering Expert for AI Model Evaluation. The role is remote for the US and focuses on grading derivations, reproducing key steps, and annotating correct methods to train AI models.

You will review outputs, reproduce calculations, and flag errors with structured severity, contributing to robust model evaluation processes while maintaining high inter-rater consistency.

Qualifications

• Graduate-level training or equivalent applied experience in manufacturing industrial engineering research review or a closely related field.
• Clear written reasoning that cites methods, papers, or worked examples.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current manufacturing industrial engineering review methods, conventions, and prior work.
• 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 Industrial Engineering

Education

Graduate-level training or equivalent

Job description

AuraOne, Inc. is seeking a Manufacturing Industrial Engineering Expert for AI Model Evaluation. The role is remote for the US and focuses on grading derivations, reproducing key steps, and annotating correct methods to train AI models.

You will review outputs, reproduce calculations, and flag errors with structured severity, contributing to robust model evaluation processes while maintaining high inter-rater consistency.