Combinatorics Model Evaluator

AI Trainer Jobs; United States; Remote; USD 69,000 - 96,000; Full time

Job summary

AuraOne is seeking a Combinatorics Model Evaluator for a remote review track evaluating AI outputs across combinatorics model research, reasoning, and workflows. Reviewers grade derivations and reproduce results to train the modeling team.

This contractor role offers hourly pay and requires expertise in mathematical reasoning and proof review, with eligibility for US remote work. Multilingual capability is a plus; prior AI-assisted research tooling review is valued.

Qualifications

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

Responsibilities

• Review AI outputs against combinatorics model research review methods.
• Reproduce or sanity-check key derivations, calculations, or claims.
• Flag errors with structured severity tags.
• Capture corrected reasoning for training purposes.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Combinatorics

Formal reasoning

Proof review

Education

PhD or postdoc in related field

Job description

Combinatorics Model Evaluator is a remote review track for evaluating AI outputs across combinatorics model 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: $50 / hr · Location: Remote - US-eligible · Contractor

Combinatorics Model Evaluator is a remote review track for evaluating AI outputs across combinatorics model research review reasoning, calculations, and research workflows.

About the role

Combinatorics Model Evaluator is a remote review track for evaluating AI outputs across combinatorics model 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.
Combinatorics Model 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 combinatorics model research review methods, conventions, and prior work for Combinatorics Model Evaluator 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.

Role details

Track STEM research review Work model Remote Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

Role signals

Example tasks

• Reproduce a combinatorics model 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

Hourly rate confirmed after the interview process.
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
• Combinatorics Model research review
• Formal reasoning
• Proof review
• Combinatorics

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

• 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.