Catalog Specialist, RCX

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, Basic qualifications: - Bachelor's degree - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - 1+ years of proven experience in data annotation and labeling for ML model training and evaluation. Preferred: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, or experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience working on the MTurk or Sagemaker platform for data annotation tasks - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.58 - 30.72 USD hourly