Data Annotator at Hugo Otaku Technology (Jan 2023 to Current)
Performed data annotation work for large language models (LLMs) and machine learning (ML) algorithms. Applied natural language processing (NLP) and ML expertise to produce accurate, detailed labels that improve model performance. Analyzed datasets to identify patterns and increase the consistency and accuracy of annotated outputs. • Create and refine labeled training datasets for ML/LLM systems • Apply NLP-driven judgment to ensure high-quality annotations • Use analytical review to improve labeling accuracy • Support automation by training ML models on labeled data