9 часов назад
AI Data Operations Lead (Robotics)
145 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Data Operations Lead (Robotics): Leading the operational execution of embodied AI learning programs, including robot data collection, annotation, teleoperation, evaluation, and fleet readiness, with an accent on scalable workflows, team leadership, and operational KPIs. Focus on coordinating AI, hardware, robotics software, and operations teams, building high-quality datasets, and improving robot uptime and evaluation turnaround.
Location: Milpitas, California, United States; 5 days/week in-office collaboration required
Salary: $145,000–$205,000 USD annually plus bonus and equity
Company
is an AI robotics company developing Physical AI-powered robots for demanding industrial environments and real-world deployment.
What you will do
- Own the operational execution of AI learning programs and translate research priorities into scalable execution plans.
- Coordinate cross-functional work across AI, hardware, robotics software, and operations.
- Recruit, develop, and retain a 20–50 person team covering data collection, annotation, and teleoperation.
- Define and report KPIs such as data collection throughput, robot uptime, and evaluation turnaround.
- Manage robot fleet health, preventive and corrective maintenance, readiness, and operational efficiency.
- Lead end-to-end data collection and annotation programs, including workflows, SOPs, training, scheduling, quality assurance, evaluation resources, and vendor management.
Requirements
- Bachelor’s degree or above; technical degrees are preferred.
- 5+ years of experience in technical operations, program management, or cross-functional operations leadership, ideally in hardware, robotics, or R&D.
- Experience managing people, operators, or vendor teams, including hiring, training, scheduling, and performance management.
- Ability to translate technical priorities into operational workflows, SOPs, and execution plans without writing code or designing systems.
- Working knowledge of data pipelines, model training, and robot operations for effective collaboration with AI researchers and engineers.
- Must work in the office 5 days per week.
Nice to have
- Experience with Physical AI, robot learning, imitation learning, or VLA development.
- Experience with teleoperation, human demonstration pipelines, robotics data collection, or large-scale annotation operations.
- Familiarity with robot benchmarking, evaluation workflows, operational dashboards, or workflow automation.
Culture & Benefits
- Competitive stock options and equity programs.
- Health, dental, and vision insurance with a 401(k) plan.
- Visa sponsorship and green card support are available for qualified candidates.
- Lunches, dinners, a stocked kitchen, and regular team-building events.
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