Drimva

Agility Robotics

Data Collection Manager

$168K–$219K

Onsite- Fremont, CA +1 · Manager · Full-time · Posted Sep 28, 2026

Location
Onsite- Fremont, CA
Fremont, California, United States
Experience
6+ years in technical operations, data operations, manufacturing, industrial or process engineering, lab operations, or production environments; 3+ years leading frontline or technical teams.
Education
Bachelor's degree in Engineering, Operations, Industrial Engineering, or a related technical field, or equivalent practical experience.
Visa sponsorship
Applicants must have current authorization to work in the United States.

About the job

Leads Agility Robotics’ teleoperation data collection operation, managing the team, campaigns, equipment readiness, vendors, and data quality and throughput metrics for robot learning.

What you'll do

  • Hire, train, schedule, and lead robot operators and data collection specialists while promoting safe work practices.
  • Plan and execute collection campaigns; maintain station and rig readiness, operating procedures, and quality and throughput targets.
  • Manage vendors and contract labor, report operating metrics, and coordinate collection plans with AI Engineering.

What they ask for

  • 3+ years leading frontline or technical teams, including hiring, performance management, and mentoring.
  • Familiarity with teleoperation rigs, VR and XR capture setups, motion capture, or wearable sensor capture.
  • Experience running a metrics-driven operation accountable for throughput, quality, and utilization targets.
  • Experience managing vendors or contract labor, including performance and SLA management.

Nice to have

  • Experience establishing a teleoperation or robot data collection function at a robotics, humanoid, autonomous vehicle, or embodied AI company.
  • Working understanding of imitation learning and robot learning data requirements.

Pay

$168,000–$219,000 USD (base salary)

Tools

JIRA, Confluence, Grafana, Tableau, Power BI, Google Workspace

AI focus

Collects and quality-controls teleoperation data for robot learning, partnering with AI Engineering to plan tasks and scenarios and prioritize data based on policy performance.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)