AI Trainer at Outlier AI (data labeling and structuring)
Collected, labeled, and structured large datasets to optimize AI model learning. Worked across multiple modalities including text, images, and audio while ensuring the resulting dataset met training needs. Organized labeled data into usable formats for downstream model training and evaluation. • Labeled and structured dataset examples for model learning • Curated text, image, and audio data for training pipelines • Ensured data organization supported evaluation and iteration • Prepared datasets to reduce errors and improve training outcomes