Catalog Specialist, RCX (Fulfillment & Operations)

Amazon Inc.; Bellevue (WA); On-site; USD 30,000 - 42,000; Full time

Benefits offered by this job

EAP

Mental Health Support

Medical Advice Line

401(k) matching

Job summary

Amazon in Bellevue seeks an experienced Catalog Specialist to support ML model development through data annotation and labeling. You will work with product, technology, and science teams to enable accurate classification and improve the customer experience across the shopping journey.

The role emphasizes data quality, attention to detail, and the ability to manage multiple ML annotation projects in a fast-paced environment. Requires English fluency and a BA/BS degree.

Qualifications

• Bachelor's degree required.
• Fluent English (speaking, writing, reading).
• 1+ years of experience in data annotation and labeling for ML model training/evaluation.
• Experience with Microsoft Office products.

Responsibilities

• Collaborate with product, technology and science teams to support ML models.
• Perform data annotation tasks to train and evaluate ML models.
• Support development of classification algorithms.
• Coordinate with cross-functional teams to align tasks with project timelines.
• Maintain high-quality annotated data to optimize model performance.
• Evaluate and improve annotation processes for efficiency and accuracy.
• Apply strong analytical skills to solve complex problems.
• Manage multiple projects with clear communication and organization.

Skills

Data annotation

ML model training

Analytical skills

Project coordination

Education

Bachelor's degree

Tools

MS Office

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.

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

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 Qualifications

• 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

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

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.

Veterans, military spouses, and people with disabilities are encouraged to apply.