Catalog Specialist, Rcx

Amazon Amazon · Big Tech · Bellevue, WA · Project/Program/Product Management--Non-Tech

This role supports the development of ML models and classification algorithms by performing data annotation and labeling. The Catalog Specialist will work closely with product, technology, and science teams to ensure high-quality annotated data for model training and evaluation, aiming to improve customer experiences within Amazon's returns and sustainability group.

What you'd actually do

  1. Work closely with our product, technology, and science teams to support Machine Learning (ML) models
  2. Perform data annotation required to train and evaluate ML models effectively
  3. Support data scientists in the development of classification algorithms
  4. Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines
  5. Maintain high-quality standards for annotated data to optimize model performance

Skills

Required

  • Experience with Microsoft Office products and applications
  • 1+ years of proven experience in data annotation and labeling for ML model training and evaluation
  • Speak, write, and read fluently in English

Nice to have

  • Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
  • Experience working on the MTurk or Sagemaker platform for data annotation tasks
  • Understanding of data annotation methodologies and tools
  • Familiarity with Amazon's product and category ecosystem
  • Previous exposure to machine learning concepts and algorithms
  • Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain

What the JD emphasized

  • data annotation
  • ML models
  • classification algorithm development
  • data annotation and labeling for ML model training and evaluation

Other signals

  • data annotation
  • ML models
  • classification algorithm development