AI Data Operations Lead

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Milpitas, CAPosted Today

Role Overview

Roboforce is hiring a AI Data Operations Lead. This is a full-time role in Milpitas. posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full embodied systems stack — the onboard AI system, the data collection system, the teleoperation systems, and the on-robot reinforcement learning system — driving the direction hands-on and closing the loop between data, models, and action in the physical world.

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.

Requirements

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 — including hiring, training, scheduling, and performance management.
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.
Excellent communication, organizational, and cross-functional leadership skills.
Comfortable operating in a fast-paced, ambiguous R&D environment where priorities shift quickly.
Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

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.
Familiarity with robot benchmarking and evaluation workflows.
Experience designing internal operational tools, dashboards, or workflow automation systems.

Benefits

Competitive stock options/equity programs.
Health, dental, and vision insurance, 401(k) plan.
Visa sponsorship and green card support for qualified candidates.
Lunches and dinners, a fully stocked kitchen, and regular team-building events.

About Roboforce

Roboforce

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Frequently Asked Questions

How do I apply for the AI Data Operations Lead position at Roboforce?

Use the Apply button above to submit your application directly to Roboforce. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the AI Data Operations Lead position at Roboforce located?

This position is based in Milpitas. Roboforce has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a AI Data Operations Lead at Roboforce earn?

Roboforce has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the AI Data Operations Lead role at Roboforce posted?

This role was posted on July 22, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.