18 days ago

Mathematics Problem Designer

Biz-Tech Analytics

Hybrid
Contractor
$100,000
Hybrid
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Job Overview

Job TitleMathematics Problem Designer
Job TypeContractor
Offered Salary$100,000
LocationHybrid

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Job Description

Mathematics Problem Designer - Freelance

We are seeking sharp, self-directed problem designers to craft original, rigorous mathematics problems that challenge the limits of today's large language models. You will also write airtight LaTeX solutions to back them up.

Responsibilities:

  • Design original, university-level math problems across one or more domains: Algebra, Real Analysis, Probability, Combinatorics, Optimization, Topology, Number Theory, Discrete Math, Geometry, or Differential Equations.
  • Write complete, rigorous solutions in LaTeX.
  • Test your problems against AI models to verify they are genuinely challenging.
  • Submit structured evaluations with difficulty ratings and domain classifications.

What We're Looking For:

  • Strong university-level mathematics background (MSc / M.Tech / PhD preferred).
  • Proficiency in LaTeX proof-writing.
  • Self-directed work ethic with the ability to meet monthly targets.
  • Minimum commitment: 10 original problems per month.
  • Bonus: Prior experience in AI/LLM evaluation, red-teaming, or math benchmarking.

Education:

M.Sc / M.Tech / PhD in Mathematics, Statistics, or a related field.

Key Skills/Competency:

  • Mathematics Problem Design
  • Abstract Algebra
  • Real Analysis
  • Probability Theory
  • Combinatorics
  • Optimization
  • Topology
  • Number Theory
  • Discrete Mathematics
  • Geometry
  • Differential Equations
  • LaTeX
  • Mathematical Proof
  • Writing
  • AI Evaluation

Tags:

Mathematics Problem Designer
Mathematics
Algebra
Real Analysis
Probability
Combinatorics
Optimization
LaTeX
AI Evaluation
LLM Testing
Freelance
Remote
Math Benchmarking
Higher Education
STEM

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How to Get Hired at Biz-Tech Analytics

  • Tailor your resume: Highlight advanced mathematics degrees (MSc/M.Tech/PhD), LaTeX proficiency, and any AI/LLM evaluation experience.
  • Showcase problem design skills: Include examples or descriptions of complex mathematical problems you've created and solved.
  • Emphasize self-direction: Detail your ability to work independently and meet monthly targets for problem creation and submission.
  • Prepare for technical questions: Be ready to discuss your mathematical expertise across specified domains and your LaTeX proof-writing capabilities.
  • Demonstrate AI challenge approach: Explain how you would design problems specifically to test AI limitations.

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