Data Annotator (Simulated Project, Self-Study)
I completed a simulated data annotation project as part of my self-study, focusing on both image and text annotation. My tasks involved drawing bounding boxes on images and classifying intent, sentiment, and tone in text data while following strict project guidelines. High accuracy and quality were maintained through self-led quality assurance checks throughout the project. • Annotated image datasets using bounding boxes, ensuring precise localization of objects. • Performed intent, sentiment, and tone classification tasks on diverse text data for NLP use cases. • Utilized LabelMe, Labelbox, and CVAT for hands-on annotation work. • Adhered to structured annotation standards and consistently delivered outputs with 98%+ accuracy.