AI/ML Research Intern – Data Annotation & Evaluation (Samsung R&D Institute)
I participated in data annotation, model evaluation, and iterative model improvement as an AI/ML Research Intern. My responsibilities included analyzing AI model outputs, verifying results against ground truth, and refining prompts to enhance model outputs for real-world deployments. I worked within structured reviewer feedback cycles to systematically improve the reliability and quality of our federated learning-based moment retrieval system. • Conducted detailed analysis and annotation of model outputs on video content datasets. • Evaluated performance benchmarks and identified failure patterns in AI predictions. • Provided structured, actionable feedback to guide prompt and configuration improvements. • Collaborated with cross-functional teams following strict technical guidelines for annotation and evaluation tasks.