Remote AI Content Review Lead — Research Validation

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

Job summary

AuraOne is seeking a Research Marketing Lead for AI content review in a remote, contractor role. You will evaluate model outputs, reproduce key steps, and document methods to support future training. The position requires strong scientific reasoning and the ability to apply rubrics across large batches.

Responsibilities include grading derivations, identifying errors, and providing rigorous, citeable explanations. Must have async availability for 10 hours/week and work from the US.

Qualifications

• Graduate-level training or equivalent applied experience in research marketing lead research review or a closely related field.
• Experience publishing, teaching, or advising on the topic at a professional level.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning citing methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current research marketing lead methods and prior work.
• Reproduce or sanity-check key derivations, calculations, or claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture the corrected reasoning or worked example for training data.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Research Marketing Lead review

Education

Graduate-level training or equivalent in research marketing lead research review

Job description

AuraOne is seeking a Research Marketing Lead for AI content review in a remote, contractor role. You will evaluate model outputs, reproduce key steps, and document methods to support future training. The position requires strong scientific reasoning and the ability to apply rubrics across large batches.

Responsibilities include grading derivations, identifying errors, and providing rigorous, citeable explanations. Must have async availability for 10 hours/week and work from the US.