Mathematician
@ Crossing Hurdles

Hybrid
$85,000
Hybrid
Contractor
Posted 7 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXX***** @crossinghurdles.com
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Job Details

Mathematician at Crossing Hurdles

Crossing Hurdles is a recruitment firm referring top candidates to world-leading AI research labs. This role is a contract position for Mathematics PhD students, post-docs, and recent graduates to help develop and evaluate graduate-level mathematical challenges for a frontier AI reasoning project.

Role Overview

Mercor is partnering with an AI research lab to push the boundaries of AI reasoning. In this role, you will design original advanced mathematics problems, evaluate AI-generated solutions, identify logical flaws, and provide structured feedback with high precision.

Key Responsibilities

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

Required Qualifications

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

Application Process

The application process takes approximately 35 minutes. It involves uploading your resume, completing an AI interview based on your resume (15 minutes), and submitting a form.

Key skills/competency

  • mathematics
  • problem design
  • evaluation
  • algebra
  • geometry
  • combinatorics
  • analysis
  • probability
  • research
  • reasoning
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How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Tailor details to match advanced mathematics and AI research.
  • Highlight expertise: Emphasize skills in algebra, geometry and analysis.
  • Include relevant projects: Detail research and evaluation experience.
  • Prepare for AI interviews: Practice articulating problem-solving and feedback.

📝 Interview Preparation Advice

Technical Preparation

Review advanced mathematical theories.
Practice problem design exercises.
Study AI model evaluation techniques.
Refine proofs and logical analysis skills.

Behavioral Questions

Describe a complex project challenge.
Explain your approach to rigorous evaluation.
Share experiences managing deadlines remotely.
Discuss feedback handling during collaborative tasks.

Frequently Asked Questions