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Mathematics Expert

Taskify

RemoteRemote

Original Job Summary

About the Role

Are you a recent Mathematics PhD or advanced PhD candidate from a top 30 program? Join a cutting-edge AI research project to strengthen machine reasoning and theorem-solving capabilities. Your expertise will directly shape the next generation of AI mathematical intelligence in the Mathematics Expert role.

Key Responsibilities

  • Solve and assess complex mathematics problems across various fields.
  • Review AI-generated proofs and solutions for accuracy, rigor, and clarity.
  • Provide structured feedback to improve AI reasoning and theorem validation.

Qualifications / Skills Required

  • PhD in Mathematics (within the past 4 years) OR ≥3 years into a PhD program.
  • Enrolled in or graduated from a top 30 Mathematics program.
  • Strong problem-solving, theorem-referencing, and analytical communication skills.

Preferred Qualifications

  • Active in academic research or publications.
  • Experience mentoring or teaching advanced mathematics.

Compensation & Contract Details

Earn up to $10,000 per month, competitive and commensurate with experience, with payments via Stripe Connect. This is a flexible, project-based contract (5–6 weeks, with potential for extension).

Why Join

Apply your graduate-level expertise to cutting-edge AI systems and collaborate with a leading AI research group that is shaping future reasoning models.

Key skills/competency

  • Mathematics
  • Research
  • AI
  • Theorem
  • Analysis
  • Problem-solving
  • Proof review
  • Feedback
  • Communication
  • Academic

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Research Taskify's culture: Study their mission, projects, and recent news.
  • Customize your resume: Highlight your advanced mathematics and AI experience.
  • Showcase academic success: Include top 30 program achievements.
  • Prepare for proof review: Demonstrate problem-solving and analytical skills.

📝 Interview Preparation Advice

Technical Preparation

Review complex mathematical theories.
Practice AI algorithm analysis.
Study theorem-solving techniques.
Familiarize with proof validation methods.

Behavioral Questions

Describe a challenging research problem solved.
Explain feedback approach in team settings.
Share experiences handling academic pressure.
Discuss adapting strategies to new problems.