Data Annotator, Polaris Alpha
Performed data annotation and transcription quality review to support natural language processing model development. The role involved validating annotated/transcribed content for accuracy and consistency. The quality checks helped improve training data reliability for NLP. • Annotated data for NLP training use cases • Conducted transcription quality review and error detection • Ensured consistency with labeling guidelines • Supported improvements to dataset readiness for model training