CVAT (Computer Vision Annotation Tool) is an open-source platform designed for efficient annotation of visual data such as images and videos. It offers advanced tools for tasks like image classification, object detection, 3D cuboids, and video annotation, making it a key resource for training machine learning models in industries like healthcare, retail, automotive, and more. CVAT allows teams to collaborate, manage data securely in the cloud, and accelerate AI development with features like auto-annotation and algorithmic assistance.

To work as a Data Annotator at CVAT, candidates should ideally have at least three years of experience in data annotation or related fields, with strong familiarity using the Computer Vision Annotation Tool (CVAT). Knowledge of computer vision concepts and terminology is essential. Key qualifications include exceptional attention to detail, the ability to work both independently and collaboratively, and excellent communication skills. Candidates must also be adaptable to fast-paced environments and ensure high accuracy in annotations to support machine learning projects.