Data Annotator
As a Data Annotator at iMerit Scholars, I evaluate AI-generated text for accuracy, relevance, and adherence to guidelines. My work includes scoring AI outputs for factuality, grammar, and completeness, performing error analysis to identify model weaknesses, and providing detailed feedback to improve AI performance. I also participate in annotation tasks for classification, question-answering, and text generation projects, ensuring high-quality datasets for AI model training.