Self-practiced data labeling tasks (images/text classification) as part of AI training
The candidate practiced AI data labeling tasks focused on image and text classification, supporting dataset preparation for model training. This involved assigning appropriate categories to inputs while maintaining accuracy and consistency during annotation. The work also included exploring AI tools and understanding how labeled data fits into machine learning workflows. • Image/text classification labeling practice • Dataset preparation and quality-minded labeling • Validation and consistency checks during labeling • Exploration of AI tools/platforms for annotation workflows