AI Dataset Labeling & Annotation for Document & NLP Workflows
OtherTextEntity Ner ClassificationEvaluation Rating
Curated, labeled, and validated large-scale text and document datasets for AI-assisted backend systems.
Annotated entities, classified text segments, and provided structured feedback to improve AI output relevance and accuracy.
Evaluated AI-generated responses for correctness, clarity, and contextual relevance; implemented manual correction loops for model training.
Organized metadata, embeddings, and vectorized datasets to support search, retrieval, and AI model fine-tuning.
Collaborated with developers and operations teams to maintain dataset quality, consistency, and reliability across production pipelines.
Curated, labeled, and validated large-scale text and document datasets for AI-assisted backend systems. Annotated entities, classified text segments, and provided structured feedback to improve AI output relevance and accuracy. Evaluated AI-generated responses for correctness, clarity, and contextual relevance; implemented manual correction loops for model training. Organized metadata, embeddings, and vectorized datasets to support search, retrieval, and AI model fine-tuning. Collaborated with developers and operations teams to maintain dataset quality, consistency, and reliability across production pipelines.
2023