AI Data Analyst – NLP Data Labeling and Annotation
As an AI Data Analyst at RWTH Aachen University, I applied Natural Language Processing (NLP) to analyze and annotate academic research data. My responsibilities included implementing entity recognition tasks and supporting model training for AI-driven research projects. I ensured high-quality textual data labeling to enhance ML model accuracy. • Labeled research text data for NLP model development • Focused on entity recognition and classification tasks • Used internal/proprietary tooling for annotation workflows • Achieved over 85% accuracy in labeled data