Data Labeling and AI Training Intern
During the Erasmus internship at the University of Bielsko-Biala, I worked in the data section focusing on machine learning, AI, and their applications within quantum physics and probability equations. My responsibilities included preparing, processing, and curating datasets for developing AI and machine learning models, which contributed to research in cybersecurity based on quantum computing. I was tasked with ensuring the data was accurately structured and labeled for effective AI training and experimentation. • Supervised and participated in the annotation and validation of scientific equations and physics data. • Fine-tuned datasets for model accuracy by refining input-output pairs. • Collaborated with professors and research staff for quality assurance in dataset labeling. • Supported the transition of raw data into structured, AI-ready annotated datasets.