Data Annotation Specialist
Contributed to AI training workflows by designing and preparing high quality text datasets used for supervised fine tuning of language models. Developed structured prompt response datasets by transforming raw data into clear, context rich inputs aligned with model training objectives. Collaborated with data annotators and machine learning engineers to refine response quality, ensure consistency in tone and reasoning, and align outputs with expected model behavior. Implemented data cleaning, validation, and formatting processes to improve the accuracy and usability of training data across multiple NLP use cases Supported quality assurance efforts by reviewing generated responses, identifying inconsistencies, and improving dataset reliability for downstream AI model performance. Processed and managed large scale text data from multiple sources, ensuring scalability and efficiency in AI training pipelines.