Manager, Robotics Data Collection Ops, Frontier AI & Robotics (FAR)

Roboticsconnected; San Francisco (CA); In loco; USD 150.000 - 230.000; Tempo pieno

Descrizione del lavoro

Amazon's Frontier AI & Robotics (FAR) team seeks a Manager of Robotics Data to lead the data collection shift in San Francisco. This role will oversee a 20–30-person field team, own delivery and process, and ensure quality and throughput targets are met.

You will identify capacity bottlenecks and drive improvements in collaboration with engineers, researchers, and the Ops teams. You will supervise hiring, onboarding, and training of new team members, with a focus on safety and operational

Competenze

• Experience leading large data-collection teams.
• Strong ability to forecast capacity and staffing needs.
• Proven track record delivering on throughput and quality metrics.

Mansioni

• Set team priorities for Data Ops, own throughput, quality, and safety metrics.
• Mentor data collectors and own data delivery initiatives.
• Collaborate with researchers, engineers, and ops on prioritization and execution.
• Manage daily floor operations: staffing, work allocation, and issue escalation.

Conoscenze

Data Operations

Team Leadership

Forecasting

Process Improvement

Descrizione del lavoro

Are you interested in solving the most critical operations problem behind cutting-edge robotics development? Interested in a fast dynamic environment? Amazon's Frontier AI & Robotics (FAR) team is building advanced robotic systems through frontier foundation models, and high-quality data collection is a core input to that research. Come lead the data operations team that produces the ground-truth data our models learn from.

We are looking for a Manager of Robotics Data to manage the shift of our data collection operation in San Francisco. You will manage a 20–30-person team of data collectors, own delivery and process for the shift, and ensure quality and throughput targets are met. You will be responsible for identifying the key initiatives to increase capacity and efficiency of the team, and partner with engineering, DC tech leads and researchers closely to deliver.

Key job responsibilities

• Set the team's priorities for the Data Ops team. Own the team's throughput, quality, and safety metrics. Work with the team to deep-dive technical and operational issues that impact data productivity. Build mechanisms for taking corrective actions.
• Partner with 3P to mentor and coach data collectors. Own data delivery, key initiatives, and process improvement.
• Serve as an essential point of contact for the Data Flywheel team. Interact with researchers, software and hardware engineers, and the Ops team on prioritization and project execution.
• Manage daily floor operations: staffing, work allocation, and escalation of issues on robotics. Create reports and track project/process metrics.
• Capacity planning and build capacity: Forecast the demand of the data based on research plan, plan for the ops capacity, and identify bottleneck
• Identify repetitive problems from data operations and initiate new technical and operational programs to de-bottleneck the issues systematically.
• Drive process optimization and improvement projects in quality and productivity across the data collection workflow. Partner with cross-functional teams and DC Tech Leads to improve tooling and processes.
• Partner with vendors on managing the 3P team. Review vendor performance at regular cadence and ensure productivity and quality deliverables are met.
• Manage expectations of multiple stakeholders across teams within the program. Present team metrics and write-ups in business review meetings.
• Support hiring, onboarding, and training of new team members, including conversion of high-performing contractors to full-time roles.