AI Data Operations Lead

5+ years of experience in technical operations, program management, or cross-functional operations leadership, ideally in a hardware, robotics, or R&D environment.

Strong ability to translate technical priorities from research and engineering teams into scalable operational workflows, SOPs, and execution plans, without needing to write code or design systems yourself.

Comfortable partnering closely with AI researchers and engineers, and fluent enough in technical concepts (data pipelines, model training, robot operations) to coordinate effectively — but this is a people and process leadership role, not a hands-on engineering role.

Experience supporting Physical AI, robot learning, imitation learning, or VLA development.

Experience with teleoperation systems, human demonstration pipelines, or robotics data collection.

Experience managing large-scale annotation operations and external vendors.

Competitive stock options/equity programs.

Health, dental, and vision insurance, 401(k) plan.

Own the operational execution of RoboForce's AI learning programs, translating research priorities into scalable execution plans.

Partner closely with AI researchers and engineers to coordinate cross-functional execution across AI, Hardware, Robotics Software, and Operations.

Define, track, and report operational KPIs — including data collection throughput, robot uptime, and evaluation turnaround — to drive decisions and communicate operational health to leadership.

Own robot fleet health and readiness — driving preventive and corrective maintenance, and tracking uptime to ensure robots are mission-ready for data collection and evaluation.

Drive program execution, resolve blockers, manage priorities, and continuously improve operational efficiency.

Own end-to-end execution of robot data collection and annotation programs, including operational workflows, SOPs, operator training, scheduling, quality assurance, and vendor management.