Amazon
Catalog Specialist, RCX
Bellevue, WA · Full-time · Posted Sep 16, 2026
- Experience
- 1+ years of data annotation and labeling for ML model training and evaluation.
- Education
- Bachelor's degree.
About the job
Supports machine-learning model development by annotating and evaluating data, assisting with classification algorithms, and improving annotation quality and processes.
What you'll do
- Annotate data to train and evaluate ML models, maintaining high quality.
- Support data scientists developing classification algorithms and coordinate annotation work with cross-functional teams.
- Evaluate and improve annotation processes for efficiency and accuracy.
What they ask for
- Bachelor's degree.
- Fluent in spoken and written English, and able to read English fluently.
- Experience with Microsoft Office products and applications.
- At least 1 year of experience in data annotation and labeling for ML model training and evaluation.
Nice to have
- Experience with natural language, linguistic, or other data annotation; or proficiency in MS Office (Word, Excel, PowerPoint).
- Experience with MTurk or Sagemaker, familiarity with Amazon's product ecosystem, exposure to ML concepts, or adaptability to evolving ML technologies and methods.
Pay
21.58 - 30.72 USD hourly (starting pay; base/total pay not specified)
Tools
Machine Learning (ML), Microsoft Office, MTurk, Sagemaker
AI focus
Annotates and evaluates data for ML models and supports development of data science classification algorithms.
Model-written summary · the original posting is authoritative