Remote Math QA: AI Derivations & Validation

AI Trainer Jobs; United States; Remote; USD 55,000 - 117,000; Full time

Benefits offered by this job

Remote work

Job summary

AuraOne is seeking a Mathematician for a remote review track to evaluate AI outputs in mathematics reasoning, calculations, and research workflows. You will grade derivations, reproduce key results, and document correct methods so the modeling team can train on them.

The role requires graduate-level training or equivalent experience and advanced mathematical expertise. Responsibilities include reproducing derivations, auditing for errors, and providing structured, citation-backed feedback.

Qualifications

• Graduate-level training or equivalent applied experience in mathematics or a closely related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Multilingual fluency for non-English papers and corpora.

Responsibilities

• Review AI outputs against current mathematics methods, conventions, and prior work for Mathematician 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.
• Adjudicate disputed answers against textbooks, papers, or community standards.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Mathematics

Education

PhD or equivalent research experience

Job description

AuraOne is seeking a Mathematician for a remote review track to evaluate AI outputs in mathematics reasoning, calculations, and research workflows. You will grade derivations, reproduce key results, and document correct methods so the modeling team can train on them.

The role requires graduate-level training or equivalent experience and advanced mathematical expertise. Responsibilities include reproducing derivations, auditing for errors, and providing structured, citation-backed feedback.