AI Trainer / AI training data labeling and quality inspection
Label Studio
TextPerformed dialogue data cleaning, annotation, classification, and quality inspection for AI training datasets using textual content. • Cleaned and prepared dialogue data to improve consistency and usability for model training. • Labeled data including classification and entity/NER-style annotation to support supervised learning. • Conducted quality inspection to verify labeling correctness and reduce rework. • Applied prompt engineering workflows alongside labeling to ensure training data aligns with expected behavior.
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