Catalog Specialist I, Wwrr Science Annotation Team

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 : GermanKey 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- Strong 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 skillsQUALIFICAÇÕES BÁSICASBachelor's degreeSpeak, write, and read fluently in ItalianExperience with Microsoft Office products and applications1+ years of proven experience in data annotation and labeling for ML model training and evaluationMinimum B2 Language Proficiency requiredQUALIFICAÇÕES PREFERÍVEISExperience working on the MTurk platform for data annotation tasksProven experience in data annotation and labeling for ML model training and evaluationUnderstanding of data annotation methodologies and toolsFamiliarity with Amazon's product and category ecosystemPrevious exposure to machine learning concepts and algorithmsDemonstrated ability to adapt to evolving technologies and methodologies in the ML domainOur 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.