Remote Statistics & Probability AI Evaluator

AuraOne; United States; On-site; USD 34,000 - 83,000; Full time

Job summary

AuraOne seeks a Statistics and Probability AI Evaluator to review and grade AI outputs in statistics reasoning, calculations, and research workflows. You will reproduce key derivations, flag errors, and document methods so the modeling team can train on correct approaches.

This remote contractor role requires graduate-level statistics expertise, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week.

Qualifications

• Graduate-level training or equivalent applied experience in statistics or closely related field.
• Hands-on experience publishing, teaching, or advising on statistics topics at a professional level.
• Comfort applying 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 statistics methods, conventions, and prior work.
• 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 for training.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores across inter-rater calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Statistics

Science and advanced mathematics

AI evaluation

Rubric writing

Expert review

Education

Graduate-level training or equivalent in statistics

Job description

AuraOne seeks a Statistics and Probability AI Evaluator to review and grade AI outputs in statistics reasoning, calculations, and research workflows. You will reproduce key derivations, flag errors, and document methods so the modeling team can train on correct approaches.

This remote contractor role requires graduate-level statistics expertise, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week.