Member of Technical Staff, Post-Training
Handshake
- Work setting
- Hybrid
- Location
- San Francisco, CA · Remote (USA) · New York, NY · Mountain View, CA
- Salary
- $200K–$350K
- Posted
- 1 mo ago
Pay: Base salary $200K–$350K
Where you can work: Must live near San Francisco, CA (check the posting)
From the job posting
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. ABOUT HANDSHAKE LABS Handshake Labs is building external AI products, research platforms, and customer-facing AI systems. We are evolving work that is often custom-built for an individual partner into reusable products and platforms that improve with every deployment. Our work spans the full post-training loop: designing evaluations and training environments, building high-quality data and feedback systems, running experiments, and turning what works into durable infrastructure. For example, we are developing agents that can analyze long, complex coding-agent sessions in days rather than weeks—with expert review and calibration built into the system. THE ROLE We are hiring a Member of Technical Staff, Post-Training to help define and build this new organization. …
Excerpt only. Read the full description and apply on the employer's site. Always confirm details there, as postings can change or close.
Why this is a Stretch role
It's a senior or people-manager role, which usually needs prior experience in the field. It can still be worth a look if you have that experience from before or alongside teaching. Skills that often transfer to training & l&d: facilitation, workshop design, coaching and feedback, measuring learning outcomes.