Member of Technical Staff, Data AI

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

• Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

• Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

• Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

• Build a massive, fast-growing business with billions in revenue

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.

We are hiring a Member of Technical Staff to help build the data systems that make frontier model training possible. The data Handshake builds for and acquires on behalf of labs is getting more complex and more sensitive, and this role is responsible for improving how we generate, process, and prepare that data - whether that means building higher-quality synthetic and LLM-generated training data, or making acquired third-party data safe to use by removing personal information while preserving the structure that makes it valuable.

You will partner with researchers, domain experts, legal/compliance stakeholders, and customers to turn ambiguous data questions - about generation, quality, evaluation, or privacy - into experiments, pipelines, and durable products. Early members of the team will have unusual influence over our technical direction, standards, and culture.

Location:
San Francisco & Mountain View preferred; open to exceptional candidates in other locations (London, Canada, Bangalore, etc.)

• Design and build systems that improve the quality, scale, and safety of the data Handshake generates and acquires for frontier model training - spanning synthetic data generation and data anonymization/PII removal.

• Translate ambiguous research, partner, or compliance needs into clear hypotheses, experiments, evaluation plans, and production-quality implementations.

• Build and improve data-processing pipelines, evaluation frameworks, benchmarks, and quality-control systems, whether the goal is generating higher-signal synthetic data or verifying that sensitive data has been properly de-identified.

• Run fast, rigorous iteration loops: prototype, evaluate, interpret results, and turn learnings into the next system or product.

• Partner directly with researchers, domain experts, and - where relevant - legal and compliance teams to ensure data is both high-utility and responsibly handled.

• Identify repeatable patterns across engagements and productize them into reusable software and platforms.

• Raise the technical bar through strong design judgment, clear…