Job description
As part of the SIML Data QA team, you'll play a central role in enhancing Apple's customer experience by reviewing and verifying that all datasets supplied to R&D are complete, accurate, and consistent. We are committed to Data excellence, ensuring diversity, relevance, and integrity in our datasets to enable ML engineers to build AI solutions that are transformative, ethical, and impactful. Each year, we power dozens of features and work closely with ML teams across the entire company. In this position, you'll be accountable for setting up workflows and examining assets and labels of incoming datasets, ensuring that any data delivered to R&D meets Apple's rigorous quality standards. You'll work in a fast-paced, dynamic, technology-focused environment leveraging generative AI technologies to help evaluate data in partnership with a QA project manager. You'll review the Annotation Analyst evaluations and become the subject matter expert in your domain (text, camera, or Photoshop). You'll lead training for the annotators and provide quality feedback to the QA project managers overseeing the project. You'll use your analytical skills to track and report trends. You'll collaborate with team members and share ideas for business improvements. At Apple, our individual backgrounds, perspectives, and passions help us build the ideas that move all of us forward. We'll train you to be an expert in understanding, supporting, and improving the Data Quality experience.
Address
Cupertino, CA
