Data Annotation / Quality Analyst / Prompt Engineer
This role involved high-accuracy data annotation and labeling to support training and evaluation of AI models in various domains. I performed quality analysis on datasets and model outputs to identify inconsistencies and enhance system reliability. Additionally, I designed and refined AI prompts to improve model accuracy and adaptability. • Conducted detailed text data labeling for machine learning applications • Evaluated AI outputs for correctness, coherence, and adherence to guidelines • Designed, tested, and iterated prompt structures for optimal model performance • Collaborated remotely with diverse, cross-functional teams to improve workflow.