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Robotics Data Collection Tech Lead

Amazon.com Inc
  • San Francisco, CA
    5 days ago

    Job Description

    Are you interested in solving the most critical operations problem behind cutting-edge robotics development? Interested in 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.

    Key job responsibilities

    Own the technical execution and continuous improvement of early-stage data collection for advanced robotics. Partner with researchers to translate research objectives into reliable collection workflows, improve data quality, and shorten policy training iteration cycles. Work independently within agreed priorities, providing hands-on technical guidance to data collectors and coordinating execution across research, engineering, and operations.

    In this role, you will

    • Own end to end collection iterations for assigned research tasks, from requirements and station readiness through pilot data collection, quality review, and delivery of training-ready data. Coordinate dependencies and resolve blockers to meet agreed quality and turnaround goals.
    • Partner with researchers to develop and refine SOPs, translating task objectives, failure modes, and evaluation feedback into clear collection instructions and acceptance criteria. Maintain version control and ensure collectors adopt changes consistently.
    • Serve as the technical subject matter expert for assigned data collection workflows, equipment, and tools. Independently diagnose complex issues involving robotics hardware, sensors, calibration, collection software, and data integrity; engage engineering partners when resolution requires deeper expertise.
    • Provide daily technical direction and coaching to data collectors. Demonstrate correct execution, calibrate collectors against quality standards, and develop their troubleshooting skills and judgment.
    • Assess operational and technical risks, including equipment readiness, unsafe conditions, data loss, and quality degradation. Determine when to continue, pause collection, or escalate, and coordinate recovery within established safety and technical boundaries.
    • Coordinate technical and nontechnical stakeholders, including researchers, engineering, operations, and annotation partners. Communicate priorities, trade-offs, risks, and decisions clearly, and escalate issues that threaten delivery commitments.

    Numbers & Facts

    LocationSan Francisco, CA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    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

    Skills

    • Artificial Intelligence (AI)unmatched
    • Calibrationunmatched
    • Coachingunmatched
    • Continuous Improvementunmatched
    • Data Collectionunmatched
    • Data Collection Softwareunmatched
    • Data Qualityunmatched
    • Failure Analysisunmatched
    • Identify Issuesunmatched
    • Operational Auditunmatched
    • Quality Managementunmatched
    • Quality Metricsunmatched
    • Roboticsunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Standard Operating Procedures (SOP)unmatched
    • Technical Leadershipunmatched

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