Associate, ML Data Operations, GO-AI Operations

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Data Analysis

In short

The GO-AI Operations team is building an AI-powered human detection system for workplace safety at Amazon Robotics Fulfillment centers. As an Associate, you will perform high-quality 2D image annotation and segmentation, directly enabling ML models that protect associates. This is a metrics-driven role requiring precision and consistency in a 24x7 environment.

Responsibilities

Perform accurate 2D segmentation and annotation of humans, robots, and carts across RGB and thermal images.
Identify and annotate objects within the defined Region of Interest (ROI), 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.

Requirements

Bachelor's degree
Ability to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Desired Qualifications

Experience with annotation tools such as CVAT or SageMaker Ground Truth.
Ability to distinguish between overlapping or partially occluded objects.
High precision and consistency in annotation tasks.
Strong eye for detail.
Thrive in structured, metrics-driven environments.

Benefits

Rotational shifts in a 24x7 environment.
9-hour shifts including pre-scheduled breaks.
Shift timings subject to change.
Night shift allowance as per applicable Amazon's work policy.
Rotational two-consecutive day off (5-day working week).
Opportunity to contribute to associate safety at scale.
Workplace accommodation and adjustment support for individuals with disabilities.

Skills

Computer VisionMachine LearningImage AnnotationData SegmentationSageMaker Ground TruthCVAT

#AI#Machine Learning#Data Operations#Computer Vision#Workplace Safety#Image Annotation#Segmentation#Robotics Fulfillment Centers#SIL2#Remote Work

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