Performed data labeling, annotation, and quality assurance tasks to support the training and improvement of machine lear
Performed data labeling, annotation, and quality assurance tasks to support the training and improvement of machine learning and artificial intelligence models. Reviewed, classified, and tagged text, image, and data sets according to detailed project guidelines. Evaluated AI-generated outputs for accuracy, relevance, consistency, and compliance with quality standards. Identified errors, inconsistencies, and biases in training data and provided corrective feedback to improve model performance. Conducted research and fact verification to ensure the reliability and accuracy of annotated data. Additionally, my skills and knowledge in law place me at an advantageous position in training AI in legal matters with quality research training and well-structured legal arguments.