Data Operations Supervisor- 2nd shift
- Oversee contractors and internal employees responsible for ML annotation tasks, robot teleoperation, and building data assets.
- Establish clear documentation for onboarding and training teams involved in data-related processes through structured learning programs and on-the-floor coaching.
- Develop and track KPIs for data quality, efficiency, and failure causes.
- Interface directly with ML researchers and engineers to understand data requirements
- Proactively identify bottlenecks and inefficiencies in the data pipeline, and work with Engineering and IT to develop improved solutions.
- Track and manage the budget for the overall team.
- Plan shift assignments based on data demand and personnel and equipment availability.
- Ensure adherence to safety protocols.
- Build and maintain physical space in cooperation with facilities and IT.
- Analyze and report shift performance to other stakeholders.
- Develop and deploy new SOPs as needed.
- Trial new software, hardware, or processes.
- Prior experience coaching and optionally managing individuals in a professional environment such as retail, construction, manufacturing, or logistics.
- Data analysis skills, such as reviewing KPIs, building or using dashboards, and constructing spreadsheets.
- Strong written and verbal communication skills. Email, chat, Jira, slide decks, and documents will all be part of the workflow.
- Demonstrated history of operational excellence and continuous improvement.
- Ideal candidates will have prior exposure to robotics, VR, and/or networking and IT technology.
- Ideal candidates will also have experience with Google Workspace, Jira, and other tools
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