Catalog Specialist, Science Annontations

Amazon Inc.; Factoria (WA); Presencial; USD 30.000 - 43.000; Jornada completa

Descripción de la vacante

Amazon Inc. in Bellevue, WA is seeking a Catalog Specialist to support ML model development and data annotation within WW RR&S. You will partner with product, technology, and science teams to annotate data and help classifiers improve across the customer shopping journey.

The role requires a Bachelor’s degree, fluency in English, and at least 1 year of data labeling experience. You will manage multiple annotation projects while maintaining data quality and aligning with business goals.

Formación

• Bachelor's degree and English fluency.
• Experience with data annotation for ML training.
• Experience with MS Office.

Responsabilidades

• Collaborate with product, technology, and science teams on ML model support.
• Perform data annotation for ML training and evaluation.
• Support data scientists in developing classification algorithms.
• Ensure annotation tasks align with project timelines.
• Maintain high-quality annotated data for model performance.
• Improve annotation processes for efficiency and accuracy.
• Demonstrate strong analytical and problem-solving skills.
• Manage multiple projects with clear communication.

Conocimientos

English fluency

MS Office

Data annotation

Educación

Bachelor's degree

Herramientas

MS Office

Descripción del empleo

Catalog Specialist, Science Annontations

Job ID: 10579420 | Amazon.com Services LLC

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
• Experience working on the MTurk or Sagemaker platform for data annotation tasks
• Understanding of data annotation methodologies and tools
• 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

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.

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