Remote AI Research Review Specialist (Sales Science)

Auraone; United States; Remote; USD 55,000 - 96,000; Full time

Job summary

AI Trainer Jobs is recruiting for a remote Sales Representatives (Technical & Scientific materials) role. Reviewers evaluate AI outputs across research workflows, grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

Responsibilities include reproducing or sanity-checking derivations, identifying methodological and citation errors with structured tags, and capturing corrected reasoning to support training data.

Qualifications

• Graduate-level training or equivalent applied experience in sales representatives research review.
• Hands-on experience publishing, teaching, or advising on the topic.
• 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 sales representatives research review methods, conventions, and prior work for Sales Representatives (Technical & Scientific materials) 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.

Skills

Review AI outputs

Quantitative analysis

Scholarly rigor

Education

Graduate-level training or equivalent

Job description

AI Trainer Jobs is recruiting for a remote Sales Representatives (Technical & Scientific materials) role. Reviewers evaluate AI outputs across research workflows, grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

Responsibilities include reproducing or sanity-checking derivations, identifying methodological and citation errors with structured tags, and capturing corrected reasoning to support training data.