Amazon
Fulfillment Operations Management, Catalog, Retail
CatalogSpecialist
Neural analysis suggests this role is
optimal for Mid candidates.
“Catalog Specialist at Amazon. Skills: Machine Learning, Data annotation. Support Machine Learning models. Perform data annotation”
What You'll Achieve.
Delight customers through new experiences
Industry & Context.
Deep-dive on complex problems; Problem-solving skills
Spanish language proficiency, French language proficiency, German language proficiency, Italian language proficiency
What They're Looking For.
Must Have
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
Nice to Have
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, Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain
What You'll Do.
Support Machine Learning models
Perform data annotation
Support data scientists
Develop classification algorithms
Collaborate with cross-functional teams
Ensure data annotation tasks align with project objectives
Maintain high-quality standards for annotated data
Optimize model performance
Continuously evaluate annotation processes
Improve annotation efficiency
Improve annotation accuracy
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Technology teams; Science teams
Process & Methodology
Time management, Problem-solving skills
Full Job 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: Spanish, French, German, Italian. 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-functi
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