Member of Technical Staff – Evals Lead
Build AI
Member of Technical Staff – Evals Lead
Build AI
Public-benefit data hyperscaler for physical AI
Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.
We’re hiring an Evals Lead to benchmark video and world-model capabilities with and without our data. You need to deeply understand the philosophy of evals: what an eval is allowed to claim, contamination, leakage, construct validity, and whether a number actually corresponds to a capability. More practically, you should have pushed consequential evals before — evals that changed what a lab trained, shipped, or collected, not a weekend leaderboard.
Design and run benchmarks for video and world models, with Build data and without it, under the same protocol
Make the comparison honest: held-out tasks, contamination and leakage checks, no cooking the numbers
Build the analytics layer: model performance, failure patterns, and whether scaling the dataset moves capability — and on which axes
Work with research and dataset/quality so collection and evals inform each other
Push evals that are consequential enough that people change plans when the number moves
Design processes that increase evaluation quality, repeatability, and scale as we add tasks and countries
You have shipped or driven evals that mattered: they changed training, hiring, product, or data decisions
You understand eval philosophy well enough to argue about validity, not only to plot a curve
Ideally video, robotics, world models, or multimodal, but the bar is consequential evals more than a specific domain
You will not confuse a pretty dashboard with an eval that is allowed to decide things
Video, robotics, world models, or multimodal evals
You have designed evals used in a paper, a product launch, or a data decision
Background in construct validity, contamination, or leakage
Exposure to evaluation operations: throughput, failure taxonomy, repeatability
Competitive pay
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)
Various wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification
Unlimited Codex and Claude credits
Travel
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]
Build AI runs as a public benefit corporation that acts as a data hyperscaler for physical artificial intelligence, handling hardware, data collection, and model training in one end-to-end pipeline. It collects an egocentric dataset of physical labor by equipping thousands of workers with head-mounted cameras in real-world settings, then provides this data to researchers and corporate robotics teams to train physical AI models. The company differentiates itself by being vertically integrated—owning the hardware, data collection, and training process—and by focusing on large-scale, real-world data rather than relying on third-party sources. Its goal is to accelerate the development of robots that can perform manual tasks in everyday human environments, unlocking human potential.
Explore more opportunities at Build AI