Catalog Specialist, WWRR Science Annotation Team

About the Role

In this role as a Catalog Specialist, you will be working closely with the product, technology, and science teams to support the development of Machine Learning (ML) models and data science classification algorithms. Your primary focus will be on data annotation, which is crucial for training and evaluating ML models effectively. You will be collaborating with cross-functional teams to ensure that data annotation tasks align with project objectives and timelines.

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

Skills & 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
• 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
• B2 level certification in Spanish (or higher)
• Proficiency in Machine Learning, Data Science, classification algorithms, and data annotation

What You'll Learn

In this role, you will have the opportunity to work on cutting-edge Machine Learning projects and develop your skills in data annotation, classification algorithms, and data science. You will be working closely with experienced professionals in the field, which will help you grow both technically and professionally. Additionally, you will be part of a dynamic and inclusive team that values innovation and customer satisfaction.

Resume Tip

When applying for this role, make sure to highlight your experience in data annotation, Machine Learning, and data science. Emphasize your ability to work with cross-functional teams, manage multiple projects, and communicate technical information effectively. Also, be sure to mention your proficiency in Spanish, as this is a key requirement for the position.