Catalog Specialist, WWRR Science Annotation Team
Catalog Specialist, WWRR Science Annotation Team
Posted on :
25-07-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
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 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 Amazons 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 Earths 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 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-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 skills
- Bachelors 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
- 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 Amazons 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
WW R&R includes business product operations data and software engineering teams who together manage the lifecycle of returned and damaged 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 Amazons 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 Earths 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 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-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 skills
- Bachelors 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
- 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 Amazons 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
