Head of AI Data Collection & Operations , Frontier AI & Robotics

Amazon.com Inc

San Francisco, CA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Building Systems, Campaigns, Career Development, Configuration Management, Construction, Continuous Improvement, Data Collection, Data Management, Data Quality, Environmental Research, Fleet Management, Health Maintenance, Instrumentation, International Operations, Laboratory Management, Laboratory Operations, Leadership, Metrics, Operational Communications, Operational Strategy, Operations Processes, Performance Metrics, Preventative Maintenance, Process Improvement, Quality Management, Resource Management, Robotics, Standard Operating Procedures (SOP), Strategic Planning, Sustainability, Systems Engineering, Testing, Vehicle Fleets
LOCATION
San Francisco, CA
POSTED
30+ days ago

Join Amazon"s Frontier AI & Robotics team and lead the laboratory operations that enable breakthrough research in embodied intelligence. As Head of Lab Operations, you"ll lead the on-the-ground teams that power our AI research programs-directing a large contractor workforce, managing our robot fleet, overseeing data collection campaigns, and ensuring our test environments give researchers and engineers the high-quality operational foundation they need to move fast. Your leadership directly shapes the velocity and quality of our AI research by keeping robots healthy, data pipelines flowing, and test environments ready to support the next wave of innovation.

Key job responsibilities

  • Lead, develop, and retain a 40-50 person contractor workforce spanning robot fleet operations, AI data collection, and test environment construction; establish clear performance expectations, career development pathways, and a culture of ownership, safety, and continuous improvement
  • Own robot fleet management end-to-end-maintain robot health and readiness, drive preventive and corrective maintenance programs, track fleet utilization and uptime KPIs, and ensure robots are mission-ready to support research and data collection operations at all times
  • Direct data collection operations that feed AI research pipelines; coordinate with AI researchers and data engineering teams to plan, execute, and quality-assure data collection campaigns, ensuring operational fidelity and data integrity at scale
  • Develop, build out, and sustain test environments and experimental infrastructure that enable researchers and engineers to evaluate robotic systems efficiently; manage test cell configuration, instrumentation readiness, and environment lifecycle from initial buildout through ongoing operations
  • Define, track, and report operational KPIs-including robot fleet uptime, data collection throughput, test environment availability, safety performance, and cost efficiency-using metrics to drive decisions and communicate operational health to senior leadership
  • Scale operational processes, standard operating procedures (SOPs), and workforce capabilities as research programs grow; build infrastructure and playbooks that maintain quality and speed as scope expands

A day in the life

As the Head of AI Data Collection & Operations at FAR, you set strategic direction for the operational capabilities that drive research velocity: shaping how the organization manages its robot fleet, structures its data collection programs, and builds the infrastructure that gives researchers the freedom to innovate without friction. You are a key voice in senior leadership forums, translating operational performance into strategic insights, championing investments that build long-term organizational capability, and ensuring that lab operations function as a genuine competitive advantage. You invest in your team's growth, forge deep partnerships with research and engineering leadership, and make the resource allocation decisions that keep FAR's operational foundation ahead of an ambitious and fast-moving research roadmap. You define, develop, and drive improvement on key lab performance indicators to ensure we are operating at maximum velocity and efficiency.

About the team

At Frontier AI & Robotics, we"re not just advancing robotics - we"re reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon"s computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We"re building systems that don"t just work in the lab, but scale to meet the demands of Amazon"s global operations.

About the Company

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Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles