Associate, ML Data Operations, GO-AI Operations

The GO-AI Operations team is building the future of workplace safety at Amazon Robotics Fulfillment centers through an advanced AI-powered human detection system rated at SIL2 (Safety Integrity Level 2), 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 — including RGB, thermal, and grayscale feeds — to train and validate ML models that protect associates on the fulfillment floor. As an Associate in this role, you will perform high-quality 2D image annotation, accurately segmenting humans, robots, and carts within defined Regions of Interest (ROI). Your work directly enables the ML pipeline that powers real-time safety decisions, making this a high-impact, metrics-driven operational role where precision and consistency are critical. If you thrive in structured environments, have a sharp eye for detail, and want your work to directly contribute to associate safety at scale, this is the role for you

Key job responsibilities 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