Data Science Level 3 (Advanced AI, NLP ), BS+10 yrs or MS+8 yrs
This role focuses on building automated annotation pipelines for spoken and written language data, improving NLP models by comparing them to human-generated annotations. The candidate will work closely with a premier agency system to optimize performance and develop new tokenization solutions.
Skills required
About this role
DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system.
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