Math and Analysis Expert

AI Trainer Jobs; United States; Remote; USD 41,000 - 69,000; Full time

Job summary

AI Trainer Jobs is seeking a Math and Analysis Expert for a remote contractor role. You will evaluate AI outputs across math reasoning, derivations, and research workflows, grading and documenting methods for training data curation.

Responsibilities include reproducing key results, flagging errors with severity tags, and producing corrected reasoning to guide model training. Requires PhD/postdoc or equivalent research experience and strong written explanations.

Qualifications

• Graduate-level training or equivalent applied experience in math and analysis research review or a closely related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• 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 math review methods 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 so the modeling team can train on it.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Math and Analysis research review

Mathematics

Research

Education

PhD, postdoc, or industry research experience

Job description

Math and Analysis Expert is a remote review track for evaluating AI outputs across math and analysis research review reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

Category: Math, Reasoning & Formal Methods · Pay: $30–$50 / hr · Location: Remote — US-eligible · Contractor

Math and Analysis Expert is a remote review track for evaluating AI outputs across math and analysis research review reasoning, calculations, and research workflows.

Role details

About the role

Math and Analysis Expert is a remote review track for evaluating AI outputs across math and analysis research review reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.
Math and Analysis research review models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would — checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one.
Judge mathematical reasoning and theorem proving. Long proof chains included.

Responsibilities

• Review AI outputs against current math and analysis research review methods, conventions, and prior work for Math and Analysis Expert 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.Track STEM research review Work model Remote · Independent specialist contractor Compensation $30–$50 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in math and analysis research review or a closely related field for Math and Analysis Expert work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• 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.

Role signals

Example tasks

• Reproduce a math and analysis research review derivation from a model output and flag any algebraic or dimensional errors.
• Grade a model's literature summary against the cited papers and rate the citation quality.
• Adjudicate a disputed answer between two reviewers using textbook methods.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• PhD, postdoc, or industry research experience in the topic area.
• Prior work reviewing AI-assisted research tooling and its failure modes.
• Multilingual fluency for non-English papers and corpora.

Compensation and schedule

$30–$50 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• Math and Analysis research review
• Mathematics
• Research

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• - 01 Confirm profile and eligibility details.
• - 02 Attach this role deliberately.
• - 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.