Data/AI Contributor, Appen Ltd
Appen
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Entity (NER) ClassificationAs a Data/AI Contributor at Appen Ltd, I executed complex annotation tasks over multiple datasets such as Named Entity Recognition (NER), sentiment analysis, and semantic segmentation. I ensured data quality by performing rigorous auditing to detect bias, hallucinations, or safety violations. My work included authoring and refining prompts for generative AI models and providing localization feedback to enhance NLP model performance. • Conducted NER, sentiment, and semantic segmentation annotations on multilingual textual datasets. • Performed qualitative audits of annotated data to ensure 95%+ guideline adherence. • Developed test prompts to evaluate both creative and logical model boundaries. • Delivered linguistic and localization feedback to improve Natural Language Processing models.