Ruth Adebayo

I am an experienced AI Annotation Specialist with a strong background in video, image, and text labeling. My journey in this field has allowed me to work with top companies like Scale AI, Papaya, and e2f, where I have consistently delivered high-quality data to support AI model training. I pride myself on being reliable, detail-oriented, and skilled in remote collaboration, which has been essential in my roles.

Currently, I work as an AI Annotator at e2f, where I analyze video footage to accurately label and track objects, actions, and events frame-by-frame. Utilizing specialized annotation tools, I create precise bounding boxes, polygons, and segmentation masks that help train AI models in understanding visual data. My work supports the development of AI applications in autonomous driving, surveillance, and other computer vision fields, providing the essential data these systems need to learn and improve.

Previously, I worked as a Freelance AI Annotator with Scale AI, where I was responsible for annotating multilingual datasets for various natural language processing tasks, including sentiment analysis and entity labeling. Collaborating with an international team, I ensured accuracy and linguistic relevance across different languages and contexts, while also providing structured feedback to refine task instructions and improve platform usability.