Catalog Specialist, Rcx

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

This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data for training and evaluation, and improving annotation processes.

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

  • Speak, write, and read fluently in English
  • Experience with Microsoft Office products and applications

Nice to have

  • 1+ years of proven experience in data annotation and labeling for ML model training and evaluation
  • 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

Other signals

  • support new Machine Learning (ML) models and data science classification algorithm development
  • Perform data annotation required to train and evaluate ML models effectively
  • Support data scientists in the development of classification algorithms
  • Maintain high-quality standards for annotated data to optimize model performance
  • Continuously evaluate and improve annotation processes to enhance efficiency and accuracy