Multi-Modal Data Labeling for AI Training
Contributed to AI training projects on OpenTrain by documenting and managing data labeling experiences across multiple data types, including image, video, text, and audio. Tasks involved selecting appropriate data categories, structuring project timelines, and providing clear, accurate descriptions of annotation workflows. Demonstrated strong understanding of data labeling processes, attention to detail, and adherence to platform guidelines to ensure high-quality training data for machine learning models.