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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 seeking an Associate to perform high-quality 2D image annotation for an AI-powered human detection system. This role involves segmenting objects in multi-modal image data to train ML models that enhance workplace safety in Amazon Robotics Fulfillment centers.

Responsibilities

  • Perform accurate 2D segmentation and annotation of humans, robots, and carts across RGB and thermal images using annotation tools.
  • 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.
  • 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.
  • Maintain data confidentiality and adhere to security protocols.
  • Collaborate with team leads and quality analysts to support continuous improvement.

Requirements

  • Bachelor's degree
  • Ability to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
  • Work in a 24x7 environment with rotational shifts (9-hour shifts, including breaks).
  • Work rotational two-consecutive day off weekly.

Desired Qualifications

  • Experience with annotation tools (e.g., CVAT, SageMaker Ground Truth).
  • Ability to distinguish between overlapping or partially occluded objects.
  • High precision in interpreting multi-feed image data (RGB, thermal, grayscale).

Benefits

  • Night shift allowance will be provided as per applicable Amazon’s work policy for night shifts.

Skills

PythonComputer VisionMachine Learning
#AI#Machine Learning#Data Operations#Computer Vision#Robotics#Safety
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Company

Amazon

Job Posted

3 weeks ago

Employment Type

Full Time

Work mode

Remote

Hours per week

45

Experience Level

Associate

Locations

Hyderabad, India

Qualification

Bachelor

Applicants

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