Member of Technical Staff, Evals
San Francisco, CA · Remote (USA) · New York, NY · Mountain View, CA·$200K–350K
AI
ABOUT HANDSHAKE
Handshake's mission is to organize expert human knowledge to advance the AI economy. Handshake AI works directly with frontier labs on their most consequential data, evaluation, and post-training challenges, building the systems that turn expert human knowledge into the data and evaluations that make frontier models better.
You will work alongside engineers, researchers, operators, and builders from organizations including Scale AI, Meta, Google, Amazon, xAI, Notion, and Palantir—and help build the systems that make expert human knowledge useful for advancing AI.
THE ROLE
We are hiring a Member of Technical Staff, Evals to help define how frontier AI systems are measured, understood, and improved. This is a broad, high-ownership role for researchers who build.
You will partner with AI researchers, domain experts, and customers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques. You will work on questions at the center of frontier AI progress: what should be measured, how to design evaluations that reflect real capability, how to create high-signal feedback, and how to build the environments and data systems that make those answers actionable.
Early members of the team will have unusual influence over our technical direction, operating culture, and the open-source software, benchmarks, and research products we build. We care more about demonstrated research capability, technical judgment, and a builder's mindset than a specific title, degree, or career path.