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Combinatorics Model Evaluator

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: AI Trainer Jobs
Full Time position
Listed on 2026-10-04
Job specializations:
  • Research/Development
    AI Evaluation, Research Analyst, Data Annotation/ AI Labeling, Data Scientist
Salary/Wage Range or Industry Benchmark: 50 USD Hourly USD 50.00 HOUR
Job Description & How to Apply Below

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. Aura One 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.
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