AI Data Annotation Intern (Self-Driven Projects)
Labeled and curated datasets for AI/ML projects to ensure high-quality annotations and accuracy. Processed and validated data using common deep learning and computer vision libraries to prepare training-ready inputs. Focused on precision and consistency throughout the labeling and validation workflow. • Annotated and curated datasets for AI/ML project training • Processed and validated data using Python, TensorFlow, Keras, PyTorch, OpenCV, and NumPy • Ensured labeled outputs met quality expectations • Performed data validation to support reliable model training