Remote PhD & Academic Research Reviewer

AuraOne; United States; Remote; USD 141,000 - 190,000; Full time

Job summary

AuraOne is seeking a PhD-level Academic Expert to remotely review AI outputs, verify derivations, reproduce key results, and document correct methods for model training. You will assess reasoning, measurements, and citations across PhD-level research workflows, contributing to high-quality data for AI systems.

Trabajo en un entorno de revisión independiente, con disponibilidad asincrónica de al menos 10 horas semanales y un enfoque disciplinado en méthodologies y documentación.

Qualifications

• Graduate-level training or equivalent applied experience in phd academic research review
• 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 phd academic research review methods, conventions, and prior work for PhD & Academic 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.Track STEM research review Work model Remote Independent specialist contractor

Skills

Graduate training

Research review

Academic writing

Async availability

Education

PhD or equivalent

Job description

AuraOne is seeking a PhD-level Academic Expert to remotely review AI outputs, verify derivations, reproduce key results, and document correct methods for model training. You will assess reasoning, measurements, and citations across PhD-level research workflows, contributing to high-quality data for AI systems.

Trabajo en un entorno de revisión independiente, con disponibilidad asincrónica de al menos 10 horas semanales y un enfoque disciplinado en méthodologies y documentación.