Teams at Build AI

Build internal software for field collection operations, including tasking, site setup, device inventory, shift tracking, local tools, and site-health monitoring. Improve operational efficiency by observing field workflows, removing bottlenecks, and making site expansion repeatable. Integrate field tools with data infrastructure and marketplace incentives, while collaborating closely with on-the-ground teams and occasionally traveling to field sites.

Own industrial design for wearable and job-site devices from concept through production. Responsibilities include sketching, CAD, rendering, physical prototyping, CMF development, vendor collaboration, DFM, factory sampling, and integration with mechanical and PCB teams. The role is based in Shenzhen and focuses on creating manufacturable, durable products that workers can comfortably wear throughout the day.

Owns dataset strategy and quality for physical labor AI data. Defines the ideal dataset, objective functions, taxonomy, golden sets, acceptance criteria, audits, and incremental data value. Converts these frameworks into collection strategies, operational standards, and vendor requirements while optimizing information gain over unnecessary fidelity or volume. Partners with marketplace, software, research, and evaluation teams to connect dataset quality with model capability.