Catalog Specialist, WWRR Science Annotation Team
Amazon
About the Role
The Catalog Specialist, WWRR Science Annotation Team at Amazon will work closely with product, technology, and science teams to support new Machine Learning (ML) models and data science classification algorithm development. This role helps to delight customers through new experiences throughout their Amazon shopping journey.
Key Responsibilities
- Work closely with 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.
- Utilize strong analytical skills and the ability to deep-dive on complex problems.
- Manage multiple simultaneous projects requiring frequent communication, organization/time management, and problem-solving skills.
Requirements & Tech Stack
- Language proficiency: Spanish.
Qualifications
- 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.
- Proven experience in data annotation and labeling for ML model training and evaluation.
- Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain.
- Bachelor's degree or above in computer science, computer engineering, or related field, or experience in communicating technically, at a level appropriate for the audience.



