Data Annotation Specialist experienced in labeling and QA for image and text datasets, improving label consistency and reviewer accuracy. Trains and audits teams, sampling 1,000+ records weekly to identify systemic errors and reduce disputes. Aiming to apply quality control and entity recognition expertise to scale reliable training data for ML projects.