PhD Mathematician/Statistician, AI Expert

Weekday (YC W21)

. Assess mathematical and statistical problems, reasoning tasks, and AI-generated outputs for accuracy, logical consistency, and mathematical rigor .

Posted 11/12/2026contractRemote • United StatesMid-LevelSenior💰 $90 - $140 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Mathematical Analysis, Partial Differential Equations, and Advanced Statistical Modeling, with a strong focus on developing rigorous mathematical proofs and evaluation methodologies for AI models. Proven ability to communicate complex mathematical concepts clearly and provide structured feedback.

Highest-signal resume keywords

PhD In MathematicsMathematical AnalysisPartial Differential EquationsLarge Language ModelsResearch Publication Record

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mathematical Proof DevelopmentStatistical Problem DesignEvaluation MethodologiesMathematical OptimizationComputational MathematicsAdvanced Statistical ModelingCritical ThinkingAnalytical Skills

Soft Skills

Written CommunicationCollaboration

Tools & Technologies

AI ToolsResearch Workflows

Industry Keywords

Operations ResearchGeometryTopologyProbability TheoryPeer-Reviewed Research

About the role

Key responsibilities & impact

Assess mathematical and statistical problems, reasoning tasks, and AI-generated outputs for accuracy, logical consistency, and mathematical rigor
Identify gaps in proofs, unjustified assumptions, incorrect derivations, flawed reasoning, and invalid generalizations in AI-generated solutions
Develop precise, challenging, research-level mathematical and statistical problem statements
Create detailed reference solutions and rigorous mathematical proofs
Design advanced mathematical and statistical problems, evaluation datasets, and benchmarks to assess AI model capabilities
Distinguish mathematically sound arguments from plausible-sounding but incorrect solutions
Collaborate with AI researchers and subject matter experts to establish evaluation methodologies and improve model reasoning
Translate specialized mathematical knowledge and expert judgment into structured evaluation criteria, detailed feedback, and measurable quality standards

Requirements

What you’ll need

PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, or a closely related discipline
Senior-level academic or research experience, such as a faculty appointment, Principal Investigator, Staff Scientist, Senior Scientist, or equivalent senior research position
Deep specialization in Mathematical Analysis and Partial Differential Equations (PDE), Algebra and Number Theory, Geometry and Topology, Probability Theory and Statistics, Applied Mathematics, Mathematical Optimization and Operations Research, Computational Mathematics, or Advanced Statistical Modeling and Inference
Strong peer-reviewed research publication record
Hands-on experience using Large Language Models (LLMs) and AI tools in academic, mathematical, or research workflows
Strong analytical and critical-thinking abilities, including identifying subtle mathematical errors and evaluating complex proofs
Excellent written communication skills and ability to provide precise, structured, technically sound feedback
Must be currently based in the United States
H-1B and STEM OPT visa holders cannot be accommodated

Benefits

Comp & perks

Fully remote, flexible schedule
Independent contractor engagement
Weekly payments through Stripe or Wise based on services rendered