Associate, ML Data Operations, GO-AI Operations
Amazon · Posted Oct 11
E-commerce, cloud computing, online advertising, and digital streaming services
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About the role
The GO-AI Operations team is part of Amazon's Global Operations AI organization, enabling automation and workplace safety at Amazon Robotics Fulfillment centers through an advanced SIL2-rated human detection system achieving up to 99% accuracy in identifying human presence. The team works at the intersection of computer vision and operational safety, processing multi-modal image data — RGB, thermal, and grayscale — to train and validate ML models. This Associate role performs high-quality 2D segmentation and annotation of humans, robots, and carts using annotation tools, directly enabling the ML pipeline that powers real-time safety decisions in a 24x7, metrics-driven environment.
What you will do
- Perform accurate 2D segmentation and annotation of humans, robots, and carts across RGB and thermal images using annotation tools (e.g., CVAT, SageMaker Ground Truth)
- Identify and annotate objects within the defined Region of Interest (ROI), while applying masks outside the ROI as per guidelines
- Interpret multi-feed image data (RGB, thermal, grayscale) with high precision, distinguishing between overlapping or partially occluded objects
- Maintain high accuracy and productivity metrics aligned with program expectations and weekly targets
- Follow standard operating procedures (SOPs) and quality guidelines consistently across all annotation tasks
- Review and validate annotations to ensure defect-free outputs, flagging edge cases or ambiguous frames for escalation
- Quickly adapt to feedback from quality audits and apply learnings to improve annotation quality in subsequent batches
- Participate in training and nesting phases, achieving ramp-up within defined timelines and demonstrating readiness through qualification assessments
- Maintain data confidentiality and adhere to security protocols when handling image and video data from fulfillment centers
- Collaborate with team leads and quality analysts to support continuous improvement in annotation accuracy and throughput
Skills used in this role
What the employer is looking for
- Bachelor's degree
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
Benefits and support
- night shift allowance
About Amazon
Amazon.com, Inc. is a multinational technology conglomerate focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. Recognized as one of the world's most valuable brands, it operates the largest internet retail marketplace globally alongside its prominent cloud platform, Amazon Web Services (AWS).
- Industry
- E-Commerce
- Company size
- 1576000+ employees
- Founded
- 1994-07-05
- Location
- Seattle, Washington, USA
- Funding stage
- Public Company
Funding
Public Company · $8M raised
- 2013-03-22Post Ipo Debt$200M
Leadership
President and Chief Executive Officer
Founder and Executive Chair
Senior Vice President and Chief Financial Officer
Matt Garman
CEO, Amazon Web Services
CEO, Worldwide Amazon Stores
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