AI Data Labeling & Quality Review Specialist
Worked on AI training and data labeling projects focused on improving machine learning models and language systems. Responsibilities included reviewing text data, labeling content based on categories, sentiment, intent, and relevance, as well as evaluating AI-generated responses for accuracy, tone, and guideline compliance. Performed annotation tasks such as text classification, data categorization, prompt-response evaluation, error detection, and quality assurance checks. Maintained high accuracy standards by following detailed project guidelines, consistency checks, and meeting deadlines. Contributed to improving model performance through clear feedback and precise labeling. Handled large volumes of data while ensuring confidentiality, attention to detail, and quality control throughout the project lifecycle.