About The Position

Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired. Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts. Now’s a great time to join Handshake. Here’s why: Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide. Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs. World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few. Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.

Requirements

  • PhD in Mathematics or a closely related field (in progress or completed within the last 10 years)
  • Proficiency in mathematical reasoning, problem-solving, and logical analysis
  • Strong research background with experience in formal and informal mathematical writing
  • Excellent communication and organizational abilities
  • Ability to make independent evaluations based on limited data
  • Passion for AI, education, and technology

Nice To Haves

  • Research experience with published work in a reputable mathematics journal
  • Experience in AI-assisted education or tutoring
  • Teaching experience (professor, lecturer, or tutor in mathematics)
  • Experience in technical writing, academic publishing, or mathematical communication

Responsibilities

  • Using proprietary software to assess AI-generated mathematical content and provide expert feedback
  • Ensuring mathematical accuracy and consistency in AI model training
  • Collaborating with technical teams to refine annotation tools and methodologies for mathematical tasks
  • Evaluating AI-generated and human responses across fields including algebra, calculus, statistics, and discrete mathematics
  • Interpreting, analyzing, and reviewing mathematical problems based on evolving guidelines

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What This Job Offers

Career Level

Entry Level

Education Level

Ph.D. or professional degree

Number of Employees

501-1,000 employees

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