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Catalog Specialist, WWRR Science Annotation Team

Amazon· WWRR Science Annotation Team
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HyderabadPosted yesterday

About the role

In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to ‘making zero happen’ – zero cost of returns, zero waste, and zero defects – to benefit our customers, company, and environment. The role supports ML model development through data annotation and collaboration with product, technology, and science teams.

Responsibilities

  • Work closely with our product, technology, and science teams to support Machine Learning (ML) models
  • Perform data annotation required to train and evaluate ML models effectively
  • Support data scientists in the development of classification algorithms
  • Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines
  • Maintain high-quality standards for annotated data to optimize model performance
  • Continuously evaluate and improve annotation processes to enhance efficiency and accuracy
  • Strong analytical skills and the ability to deep-dive on complex problems
  • Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills

Qualifications

  • Bachelor's degree or above in computer science, computer engineering, or related field, or experience in communicating technically, at a level appropriate for the audience
  • Proven experience in data annotation and labeling for ML model training and evaluation
  • Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain

Skills

Required:Machine Learning (ML) modelsData annotation and labelingClassification algorithmsCross-functional collaborationData quality assurance
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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