Catalog Data Labeling & ML Classification Specialist

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

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.