Agility Robotics

Agility Robotics

Data Collection Manager

Onsite- Fremont, CA · Senior

Sponsorship not specifiedDetected 15 days ago
GrafanaData VisualizationJiraConfluenceNegotiationProcess ImprovementPerformance ManagementCustomer SupportRoboticsAR/VRLeadership

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • Data collection is the input to our learned policies.
  • The quality of this operation directly gates model progress.

Responsibilities

  • Build, train, and lead the data collection team, including robot operators and data collection specialists in Fremont.
  • Develop onboarding and ongoing training programs, including certification on teleoperation rigs, capture hardware, and task protocols, so that operator output is consistent across people and shifts.
  • Build a career path from data collection into system test, robot operations, and other technical roles across the organization.
  • Own day-to-day readiness of teleoperation stations, capture rigs, robots, and workcells used for data collection, and coordinate with engineering and technical support on calibration, configuration, and return to service.
  • Identify bottlenecks through workflow analysis, time studies, and capacity modeling, then drive practical fixes.
  • Create and maintain SOPs, work instructions, task protocols, and process controls, and manage change control when protocols or hardware are updated.
  • Support rollout of new capture hardware, sensors, and tooling in partnership with Engineering, Facilities, and Safety.
  • Define and enforce the quality bar in partnership with AI Engineering, including what makes an episode usable, and drive first-pass yield up over time.
  • Build dashboards and reporting that give AI Engineering and leadership live visibility into collection volume, quality, and capacity without having to ask.
  • Use operational data to drive continuous improvement in throughput, quality, and unit cost.

Requirements

  • 6+ years of experience in technical operations, data operations, manufacturing, industrial or process engineering, lab operations, or production environments.
  • 3+ years of experience 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, with accountability for throughput, quality, and utilization targets.
  • Experience managing vendors or contract labor, including performance and SLA management.
  • Experience operating and troubleshooting early-stage technology in a fast-moving environment with frequently changing priorities.

Nice to have

  • Experience establishing and growing a teleoperation or robot data collection function at another robotics, humanoid, autonomous vehicle, or embodied AI company.
  • Experience with Lean, Six Sigma, time studies, or similar process improvement methods.
  • Technical Expertise
  • Strong command of operating KPIs such as throughput, cycle time, takt time, utilization, yield, OEE, and uptime.
  • Comfort with data pipeline and data quality concepts, including how collected data is validated, labeled, and delivered to downstream consumers.
  • Experience with tools such as JIRA, Confluence, Grafana, Tableau, Power BI, Google Workspace, or equivalent platforms.
  • Bachelor's degree in Engineering, Operations, Industrial Engineering, or a related technical field, or equivalent practical experience.
  • Working Conditions

Skills

  • Promote a culture of safety, including proper use of teleoperation and capture equipment, ergonomics, and adherence to safety procedures.
  • Track coverage against the target task and scenario taxonomy so gaps are visible before they block model work.

Compensation

  • The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience.

Benefits

  • Manage shift scheduling and coverage to match campaign demand, including extended hours or weekend coverage when program milestones require it.

Company info

  • We are seeking a Manager, Data Collection to lead and scale the team responsible for teleoperation data collection supporting robot learning at Agility Robotics.
  • Data collection is the input to our learned policies. The quality of this operation directly gates model progress. We are looking for someone who treats it as a production operation with measurable output, not as a support function.
  • We are looking for someone who treats it as a production operation with measurable output, not as a support function.

This listing is sourced directly from Agility Robotics's careers page and normalized into a canonical job model.