Remote AI Reasoning Reviewer for Engineering PhD Research

AuraOne Human Data; United States; Remote; USD 55,000 - 83,000; Part time

Benefits offered by this job

Remote contract

US-eligible

Flexible hours

Job summary

AuraOne, Inc. is seeking an Engineering PhD — AI Technical Reasoning Review contractor to assess and document derivations, reproduce key steps, and annotate correct methods for model training. The role is remote with US eligibility and requires clear written reasoning and independent work.

The reviewer will grade outputs, reproduce results, and flag errors using standard rubrics, contributing to building robust AI reasoning workflows.

Qualifications

• Graduate-level training or equivalent applied experience in engineering phd 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 engineering phd research review methods, conventions, and prior work for Engineering PhD — AI Technical Reasoning Review (Remote) 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

Engineering PhD research review

Education

Engineering PhD or related field

Job description

AuraOne, Inc. is seeking an Engineering PhD — AI Technical Reasoning Review contractor to assess and document derivations, reproduce key steps, and annotate correct methods for model training. The role is remote with US eligibility and requires clear written reasoning and independent work.

The reviewer will grade outputs, reproduce results, and flag errors using standard rubrics, contributing to building robust AI reasoning workflows.