Associate, ML Data Operations, GO-AI Operations

About the Role

The GO-AI Operations team is building an advanced AI-powered human detection system for workplace safety at Amazon Robotics Fulfillment centers. This role is a metrics-driven operational position focused on image annotation to support machine learning models that protect associates.

Key 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.
• 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.
• Collaborate with team leads and quality analysts to support continuous improvement in annotation accuracy and throughput.

Requirements & Tech Stack

• Experience with annotation tools such as CVAT and SageMaker Ground Truth.
• Ability to interpret multi-modal image data: RGB, thermal, and grayscale.
• Understanding of Regions of Interest (ROI).
• Familiarity with concepts like SIL2 (Safety Integrity Level 2) and ML pipeline.
• Proficiency in 2D segmentation and annotation.

Qualifications

• Bachelor's degree.
• Sharp eye for detail.
• Ability to thrive in structured environments.
• Flexibility to work a 24x7 environment with rotational shifts, including pre-scheduled breaks, potentially changing every 3-4 months.
• Rotational two-consecutive day off (5-day working week).
• Willingness to work flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Note: Night shift allowance will be provided as per applicable Amazon’s work policy if working a night shift.