Associate, ML Data Operations

Associate, ML Data 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

A day in the life Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy.

Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.

About the team The GO-AI Operations team is part of Amazon's Global Operations AI organization, enabling automation and workplace safety at Amazon Robotics Fulfillment centers. The team supports an advanced SIL2-rated human detection system achieving up to 99% accuracy in identifying human presence within robotic work cells. By processing multi-modal image data — RGB, thermal, and grayscale — the team performs high-quality 2D segmentation and annotation of humans, robots, and carts, directly powering the ML models that drive safe, hands-free automation. The team operates in a 24x7, metrics-driven environment where precision and consistency are critical.

Basic Qualifications

• Bachelor's degree

Preferred Qualifications

• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job details

• IND, TS, Hyderabad - Virtual