Remote Applied Math Benchmark Reviewer

AI Trainer Jobs; United States; Remote; USD 84,000 - 106,000; Full time

Job summary

AI Trainer Jobs is seeking an Applied Mathematics Benchmark Specialist for a remote contractor role evaluating AI outputs across mathematics reasoning and research workflows. You will grade derivations, reproduce results, and document correct methods so the modeling team can train on them.

You should have a PhD or equivalent experience in mathematics, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week; pay is $61–$77 per hour, US-eligible.

Qualifications

• PhD or equivalent research experience in mathematics or closely related field.
• Experience publishing, teaching, or advising on the topic.
• 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 mathematics methods, conventions, and prior work for Applied Mathematics Benchmark Specialist 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

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Mathematics

Education

PhD in Mathematics

Job description

AI Trainer Jobs is seeking an Applied Mathematics Benchmark Specialist for a remote contractor role evaluating AI outputs across mathematics reasoning and research workflows. You will grade derivations, reproduce results, and document correct methods so the modeling team can train on them.

You should have a PhD or equivalent experience in mathematics, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week; pay is $61–$77 per hour, US-eligible.