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Mathematics PhD

Crossing Hurdles

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Original Job Summary

About Mathematics PhD

Crossing Hurdles is a recruitment firm referring top candidates to leading AI research labs. Join a frontier AI research lab in a cutting-edge mathematics and reasoning project.

Position Overview

This role is open to PhD students, post-docs, and recent PhD graduates from top institutions. Work on designing advanced mathematics problems and evaluating AI-generated solutions with rigorous attention to detail.

Key Responsibilities

  • Design original, advanced mathematics problems across pure and applied domains.
  • Evaluate AI-generated solutions for correctness and clarity.
  • Identify logical flaws and incomplete reasoning in responses.
  • Provide structured feedback and deliver precise corrections.
  • Maintain strict standards of mathematical rigor and problem difficulty.

Required Qualifications

  • Current PhD student, post-doc, or PhD graduate (within 5 years) in mathematics.
  • Expertise in algebra, geometry, combinatorics, number theory, analysis, probability, or related fields.
  • Ability to articulate complex reasoning in written form.
  • Rigorous attention to detail in evaluating solutions.
  • Independent, reliable and disciplined work style.

Role Details

  • Type: Hourly Contract
  • Compensation: $60–$85/hour
  • Location: Remote (open worldwide; English proficiency required)
  • Duration: ~10 weeks (with potential extension)
  • Commitment: 20–40 hours/week (flexible scheduling)

Application Process

The process takes about 35 minutes which includes resume upload, a brief AI interview, and a form submission.

Key skills/competency

  • Mathematics
  • AI
  • Problem Design
  • Solution Evaluation
  • Algebra
  • Geometry
  • Combinatorics
  • Analysis
  • Probability
  • Logical Reasoning

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize resume: Highlight advanced math and research achievements.
  • Showcase projects: Emphasize contributions in AI research.
  • Prepare for AI interviews: Practice articulating complex reasoning.
  • Review job description: Align skills with responsibilities.

📝 Interview Preparation Advice

Technical Preparation

Review advanced math problem examples.
Practice evaluating AI-generated solutions.
Brush up on algebra, geometry, combinatorics.
Study recent AI research methodologies.

Behavioral Questions

Describe a challenging math project.
Explain your research work process.
How do you handle strict deadlines?
Discuss teamwork in academic settings.