DESCRIPTION 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 We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet not simply focusing on the bottom line WW R R includes business product operations data and software engineering teams who together manage the lifecycle of returned and damaged products In WW R R you will partner across these teams to help customers discover great deals on quality used rentals and open box items get the most value out of Amazon s products improve the customer returns experience and reduce defects waste and cost in reverse logistics processes You will be a leader a builder and an owner collaborating cross-functionally with technical operations and business teams to design scalable and automated solutions to customer problems Amazon is Earth s most customer-centric company and in WW R R the Earth is our customer too Come join us and innovate with the Amazon Worldwide Returns ReCommerce Sustainability team We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways In this role you will work closely with our product technology and science teams to support new Machine Learning ML models and data science classification algorithm development - all helping to delight our customers through new experiences throughout their Amazon shopping journey Need candidates in language proficiency in German Key job 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 Robust 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 BASIC QUALIFICATIONS Bachelor s degree Speak write and read fluently in German Experience with Microsoft Office products and applications 1 years of proven experience in data annotation and labeling for ML model training and evaluation B2 Language Proficiency PREFERRED QUALIFICATIONS Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation 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 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

📌 Catalog Specialist I Ml, Wwrr Science Annotation Team (Telangana)
🏢 Amazon.com
📍 Telangana