Global Data-Operations Leader for Frontier Robotics

Genesis AI; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Genesis AI is building the data collection infrastructure that powers real, dexterous robot manipulation at scale. This role leads the end-to-end floor operation, from scheduling to throughput, and scales a multi-site operation while maintaining a strict quality bar.

You will recruit and grow operators, standardize practices across sites, and partner with quality and annotation teams to ensure data is training-ready. This is a frontline, high-impact role at the frontier of embodied AI.

Responsibilities

• Run the floor end to end. Own scheduling, operator utilization, station uptime, and the throughput that delivers accepted hours at the quality bar, every week.
• Build the operator bench. Recruit, level, and develop operators and the senior operators who run shifts, until the team is deep enough for multiple shifts and multiple sites.
• Hold one standard everywhere. Make every floor we run and every partner site collect to the same playbook, the same metrics, and the same bar.
• Turn problems into process. Root-cause what slows the floor and ship the SOPs, layouts, and tooling that make the next site ramp faster than the last.
• Partner on quality and annotation. Work hand in hand with the Quality and Process and Annotation functions so collected hours convert cleanly into training-ready data.
• Stand up partner-site collection. Rehearse and run the mock-runs and first deployments that bring partner operators onto our gear.
• Report the truth. Build the reporting that tells the company, honestly, what we collected, at what quality, and at what cost.

Job description

Genesis AI is building the data collection infrastructure that powers real, dexterous robot manipulation at scale. This role leads the end-to-end floor operation, from scheduling to throughput, and scales a multi-site operation while maintaining a strict quality bar.

You will recruit and grow operators, standardize practices across sites, and partner with quality and annotation teams to ensure data is training-ready. This is a frontline, high-impact role at the frontier of embodied AI.