--- title: 'Robot Data Collection Lead at Cobot' canonical: 'https://feeny.ai/job/robot-data-collection-lead-cobot-seattle-qbrt4z66t51r' type: 'job' last_seen: '2026-09-07' --- # Robot Data Collection Lead at Cobot - **Company:** Cobot - **Location:** Seattle, WA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-05 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/cobot/815c4d60-125b-4aae-afc3-8f23ba157b19 ## Job description Help us build the future of robotics. Cobot is seeking a Robot Data Collection Lead. You will lead a team of data collectors across two shifts and work with our AI Research team to produce robot manipulation data at volume and at quality. You will hire and coach the team, set the goals, build the measurements, and drive quantity and quality metrics. Join us to reimagine the future of human-robot interaction. Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around. This role is located fully onsite at our Northlake office in Seattle, WA. Key Responsibilities: ## 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. Minimum Qualifications: - 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. Preferred Qualifications: - 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. The annual base salary range for this position is $125,000–$145,000 plus equity and comprehensive benefits including medical/dental/vision plans, 401(k) plan, unlimited paid vacation time, paid sick leave, and parental leave. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position in the noted geographic area. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know. To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes. ## About Cobot ## Company Overview - **One-liner**: Cobot (Collaborative Robotics) builds practical collaborative robots (cobots) designed to work safely alongside people in real-world environments, starting with its flagship robot, Proxie. - **Entity Type**: Private (Series B) - **Headquarters**: Santa Clara, California, United States (secondary office in Seattle, WA) - **Founded**: 2022 - **Founders**: Brad Porter (CEO) ## Core Business - **Primary industry/industries**: Automation Machinery Manufacturing, Robotics, Healthcare logistics - **Target customers**: B2B – Enterprise and mid-market customers in healthcare, logistics, and facility management - **Mission or purpose statement**: "To build a new robotic future. A future where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around." ## Products & Services - **[Proxie](https://www.co.bot/)**: A mobile collaborative robot designed for material handling, asset tracking, and facility management in complex, human-centric spaces. Hardware with embedded AI and predictable behaviors. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metrics**: - **Total Funding**: $140M (Seed: $10M, June 2022; Series A: $30M, July 2023; Series B: $100M, April 2024) - **Annual Revenue**: ~$250K (early-stage, pre-revenue at scale) - **Employees**: ~132 (as of mid-2026), growing +103% YoY - **Notable Investors/Partners**: - Neo (Seed lead) - Sequoia Capital (Series A lead) - General Catalyst (Series B lead) - Bison Ventures, Industry Ventures, Lux Capital (Series B participants) - Advisor: Teresa Carlson (former AWS executive) - **Growth Signals**: - Public launch of Proxie in November 2024 - Rapid headcount growth (+103% YoY) - Talent sourced from Amazon Robotics, Meta, Tesla, Apple - Featured in AWS CEO keynote (2024) ## Competitive Advantages - **Founding team with deep robotics expertise** – Founded by Brad Porter, who helped scale Amazon Robotics to over 500,000 robots. - **Empathy-first design philosophy** – Robots that react to people, not vice versa, enabling safe deployment in crowded, dynamic environments without cages. - **Full-stack ownership** – In-house hardware, AI, safety systems, and software platform. ## Strategic Focus - **Healthcare and logistics** – Targeting high-value use cases like hospital material transport and warehouse collaboration. - **Scaling field deployment** – Building professional services and strategic account teams to support enterprise customers. - **Safety certification** – Actively hiring Staff Certification Lead and Staff Software Engineer, Safety to meet rigorous industry standards. ## Why Work Here - **Culture**: "One without egos. Driven by empathy. With collaboration at its core." Emphasis on mission-driven work and cross-functional teamwork. - **Work policy**: In-office (Seattle and Santa Clara offices). No remote or hybrid options listed for most roles. - **Notable perks/engineering culture**: - Cutting-edge tech stack: Python, TypeScript, PyTorch, TensorFlow, ROS, Docker, Kubernetes, etc. - Strong safety engineering focus – unique opportunity to shape the safety paradigm in collaborative robotics. - Small but rapidly growing team (132 people) with high ownership and impact. - Alumni have gone to Google, Meta, Apple, Stack AV, Zipline – signaling a pedigree robotics talent pool. ## Sources 1. [co.bot (Official Website)](https://www.co.bot/) 2. [Cobot LinkedIn](https://www.linkedin.com/company/co-bot) 3. [Built In – Cobot Profile](https://builtin.com/company/cobot) 4. [LeadIQ – Cobot Company Overview](https://leadiq.com/c/cobot---collaborative-robotics-inc/6398f5ce99142b48fd4f4cd7) 5. [Ashby – Cobot Careers Page](https://jobs.ashbyhq.com/cobot) ## Other roles at Cobot - [Wire Harness Mechanical Engineer](https://feeny.ai/job/wire-harness-mechanical-engineer-cobot-santa-clara-v3n8m1w2tqca) — Santa Clara, CA - [Staff Embedded Software Engineer, Robotics](https://feeny.ai/job/staff-embedded-software-engineer-robotics-cobot-santa-clara-zz1x3yxdnrye) — Santa Clara, CA - [Director Technical Program Manager, Software](https://feeny.ai/job/director-technical-program-manager-software-cobot-santa-clara-knwmx55q8ge7) — Santa Clara, CA - [Staff Technical Program Manager, Software](https://feeny.ai/job/staff-technical-program-manager-software-cobot-santa-clara-cjt9v6hr8rnd) — Santa Clara, CA - [Senior Technical Program Manager, Software](https://feeny.ai/job/senior-technical-program-manager-software-cobot-santa-clara-c0mqx1xrqm5t) — Santa Clara, CA - [Deployment Engineer](https://feeny.ai/job/deployment-engineer-cobot-remote-naedqw272as9) - [Robotics Assistant](https://feeny.ai/job/robotics-assistant-cobot-santa-clara-cwjs21yx4pta) — Santa Clara, CA - [Staff Manufacturing Engineer, Production Systems](https://feeny.ai/job/staff-manufacturing-engineer-production-systems-cobot-santa-clara-jxgaz3jthgae) — Santa Clara, CA - [Director, Manufacturing & Quality Operations](https://feeny.ai/job/director-manufacturing-quality-operations-cobot-santa-clara-rm9jc4r1x7qv) — Santa Clara, CA - [Robotics Assistant](https://feeny.ai/job/robotics-assistant-cobot-seattle-9bv7mjb6k1pp) — Seattle, WA