Data Labeller
I contributed to the development and enhancement of large language models (LLMs) through my work at Appen. This involved tasks such as data annotation, labeling, and evaluating model outputs to ensure high-quality training data. By applying detailed linguistic and contextual analysis, I helped improve the models' accuracy, relevance, and overall performance. My role required a strong understanding of AI-driven language systems, attention to detail, and adherence to strict guidelines, which allowed me to make a meaningful impact in advancing AI capabilities.