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# Robot Data Collection Lead

- **Company:** COBOT INCORPORATED
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $125,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ba38b31494100beb

## About the Role

* 3+ years directly leading teams of hourly employees, including hiring, training, coaching, and performance management.
 * Experience supervising a multi-shift operation against a recurring output target.
 * Experience defining operational metrics, not only managing to metrics defined by others.
 * Able to discuss technical topics with engineers and research scientists and translate requirements into instructions for a non-specialist team.
 * Experience writing SOPs, training materials, and quality standards.
 * Able to work across both shifts as needed.
 * Highly motivated teammate with excellent oral and written communication skills.
 * Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team., * Experience running robot teleoperation, demonstration data collection, or a comparable data-generation operation.
 * Familiarity with robotics hardware, manipulation, or machine learning data pipelines.
 * Experience working with research scientists or ML teams.
 * Bachelor's degree in Operations, Engineering, Robotics, Supply Chain, or a related field.
 * Experience standing up a new site, team, or process.

## Description

Team

 * Hire, onboard, train, and develop 16-20 data collectors across two shifts, 8:00am-4:00pm and 4:00pm-11:00pm.
 * Keep both shifts staffed through seasonal and academic-calendar changes.
 * Coach collectors on output and quality. Manage performance.
 * Run shift huddles, handoffs, and end-of-shift recaps.

Goals and Metrics

 * Own the weekly data quantity and quality targets.
 * Build the measurements for throughput and data quality with AI Research.
 * Set individual and shift goals. Make performance visible to the team.
 * Report performance, risks, and blockers to engineering and research leadership.

Research Partnership

 * Turn research requirements into collection protocols the team can run.
 * Tell research what works on the floor, what does not, and what would raise yield or quality.
 * Discuss technical topics with research staff and argue for what the operation needs.

Operations

 * Write and maintain SOPs, training, and onboarding for the team.
 * Troubleshoot on the floor. Decide when to fix locally and when to escalate to engineering. Cut downtime.
 * Manage schedule, hours, and labor cost.
 * Train and enforce Cobot safety policies.


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