Head of AI Data Operations

RoboForce; Milpitas (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Stock options

Health, dental, and vision insurance

401(k) plan

Visa sponsorship

Lunches and team events

Job summary

RoboForce seeks an AI Data Operations Lead to own the engineering of systems that translate embodied AI into real-world robot behaviour. You will lead the full embodied systems stack, including onboard AI, data collection, teleoperation, and on-robot reinforcement learning, driving the loop between data, models, and action in the physical world.

You will recruit and develop a 20–50 person team across data collection, annotation, and teleoperation, while defining KPIs and ensuring robots are

Qualifications

• Bachelor's degree or above; technical degrees preferred.
• 5+ years of experience in technical operations, program management, or cross-functional operations leadership, ideally in a hardware, robotics, or R&D environment.
• Demonstrated experience managing people, operators, or vendor teams.

Responsibilities

• 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.
• Recruit, develop, and retain a 20–50 person team across data collection, annotation, and teleoperation — setting clear performance expectations, building career development pathways, and fostering a culture of ownership, safety, and continuous improvement.
• 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.
• Build scalable operational processes that consistently deliver high‑quality datasets supporting AI development.
• Partner with AI researchers to organize evaluation resources, execute testing plans, and deliver timely, reliable evaluation results.
• Ensure experiment outcomes, operational learnings, and program progress are accurately captured and communicated across cross‑functional teams.
• Foster a culture of operational excellence, ownership, and continuous improvement while establishing scalable operational processes that enable the AI organization to grow.

Skills

People management

Cross-functional leadership

Operational planning

Communication skills

Stakeholder coordination

Team development

Education

Bachelor's degree or above

Job description

RoboForce seeks an AI Data Operations Lead to own the engineering of systems that translate embodied AI into real-world robot behaviour. You will lead the full embodied systems stack, including onboard AI, data collection, teleoperation, and on-robot reinforcement learning, driving the loop between data, models, and action in the physical world.

You will recruit and develop a 20–50 person team across data collection, annotation, and teleoperation, while defining KPIs and ensuring robots are