Senior Ux Researcher, Handshake Al

Handshake Handshake · Enterprise · San Francisco, CA · Design

UX Researcher to shape human data products for AI labs, focusing on platforms for data generation, annotation, and evaluation. The role involves leading end-to-end research to improve user experience, product quality, and operational performance in the context of LLM development.

What you'd actually do

  1. Lead end-to-end UX research that powers Handshake Al's human data products including expert onboarding, annotation workflows, evaluation tools, and the internal operations systems that power and scale these experiences
  2. Track and measure user sentiment, usability, and efficiency across systems to drive continuous improvement
  3. Extract insights qualitative research and product analytics to inform design and strategy
  4. Plan and run evaluative and generative research throughout the product lifecycle-from early concepts to live tools
  5. Deliver rapid, actionable insights that improve fellow experience, product quality, and operational performance

Skills

Required

  • UX research
  • qualitative research
  • quantitative research
  • product analytics
  • user sentiment analysis
  • usability testing
  • design principles
  • lean research methods
  • cross-functional collaboration
  • user-centered design

Nice to have

  • consumer-facing tools
  • internal operations tools

What the JD emphasized

  • Strong understanding of Al systems, LLM development workflows, and the role of human-in-the-loop data in model training and evaluation
  • Demonstrated experience leading UX research for complex, high-impact platforms—ideally across both consumer-facing and internal operations tools
  • Proven ability to deliver fast, high impact insights that accelerate product development and drive measurable impact

Other signals

  • UX research for human data products
  • support development of platforms used by real human experts to generate data for LLMs
  • accelerate research and improve model performance
  • human-in-the-loop data in model training and evaluation