Data Labelling Specialist (annotation practice via coursework and Label Studio tool use)
Hands-on experience supporting AI/ML labeling workflows through coursework and tool-based annotation practice, with a focus on quality and guideline compliance. Work includes image, text, and audio annotation and classification tasks, emphasizing consistency across varied and ambiguous examples. Activities are aligned with preparing datasets for downstream AI pipelines and evaluation. • Annotating image data for classification according to provided instructions • Applying quality control checks to maintain label consistency • Handling edge cases by following detailed style guides • Preparing labeled examples for multilingual AI/ML contexts