Remote Criminology AI Review Expert

AuraOne, Inc.; United States; Remote; USD 34,000 - 49,000; Full time

Job summary

AuraOne, Inc. is seeking a Criminology Expert to remotely evaluate AI outputs across criminology research and review reasoning, calculations, and workflows.

Reviewers grade derivations, reproduce key results, and document the correct method for training the modeling team. Responsibilities include reviewing AI outputs, reproducing derivations, flagging errors with structured severity tags, and ensuring citations and methods are clear.

Qualifications

• Graduate-level training or equivalent applied experience in criminology research review or a closely related field.
• 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 criminology research review methods, conventions, and prior work for Criminology 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

Criminology research review

AI model evaluation

Analytical thinking

Data annotation

Literacy

Presentation skills

Job description

AuraOne, Inc. is seeking a Criminology Expert to remotely evaluate AI outputs across criminology research and review reasoning, calculations, and workflows.

Reviewers grade derivations, reproduce key results, and document the correct method for training the modeling team. Responsibilities include reviewing AI outputs, reproducing derivations, flagging errors with structured severity tags, and ensuring citations and methods are clear.