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Mathematics Research Assistant

Crossing Hurdles

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Original Job Summary

About the Role

The Mathematics Research Assistant role at Crossing Hurdles involves working with top candidates and AI research labs on cutting-edge AI models. The candidate will solve and evaluate advanced mathematics problems across multiple domains, review AI-generated solutions, provide structured feedback, and apply graduate-level expertise to strengthen theorem-based evaluations.

Role Responsibilities

  • Solve advanced mathematics problems.
  • Review and validate AI-generated proofs and solutions.
  • Provide feedback to improve AI systems.
  • Apply graduate-level expertise for theorem evaluations.

Requirements

  • Recent PhD in Mathematics or current PhD candidate (2+ years into program).
  • Enrollment or graduation from a Top 30 Mathematics program.
  • Active or recent engagement in research/academia.
  • Strong background in advanced problem solving and proof evaluation.
  • Clear articulation of reasoning and identification of argument gaps.
  • Access to a desktop or laptop computer (Chromebooks not supported).

Application Process

The application process takes approximately 20 minutes and includes resume upload, an AI interview based on your resume (15 minutes), and a follow-up submission form.

Key skills/competency

  • Mathematics
  • Theorem
  • Proof
  • Research
  • Advanced problem solving
  • AI solutions
  • Feedback
  • Academic
  • PhD
  • Analysis

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Highlight advanced math and research experience.
  • Showcase academic background: Emphasize PhD accomplishments and top program credentials.
  • Prepare for AI interview: Focus on problem solving and theorem analysis.
  • Research Crossing Hurdles: Understand their role in AI lab recruitments.

📝 Interview Preparation Advice

Technical Preparation

Review advanced math problems.
Study theorem proofs and applications.
Brush up on research methodologies.
Practice evaluating AI-generated solutions.

Behavioral Questions

Describe collaborative research experiences.
Explain problem-solving under pressure.
Discuss handling constructive criticism.
Share research communication examples.