Bilingual NLP linguistic annotation and labeling (self-directed/contract-ready)
Collected and prepared bilingual English–Swahili text data to support NLP model training and evaluation. Performed linguistic labeling tasks including named entity recognition (NER) tagging and related text classification and sentiment labeling. Validated annotation quality using linguistic expertise to ensure contextual accuracy across languages. • Applied tokenization and NER concepts to guide label consistency • Labeled sentiment and categorical text signals for downstream AI tasks • Checked translations/nuance alignment for QA purposes • Prepared RLHF-style feedback inputs for language model improvement