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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Design and build automated annotation solutions for labeling language data, including parts-of-speech tagging and related linguistic features</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Evaluate and improve model performance by comparing outputs against human-generated annotations and refining algorithms accordingly</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Analyze large volumes of structured and unstructured language data to identify patterns and improve model accuracy</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Support development of training datasets and annotation frameworks to enhance model performance</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Collaborate with cross-functional teams to align NLP solutions with mission and data requirements</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Perform data preprocessing, cleansing, and transformation to prepare datasets for modeling</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Document methodologies, model performance metrics, and findings to support repeatability and continuous improvement</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Stay current with advancements in NLP, machine learning, and language modeling techniques</span></li></ul><p style=\"font-family:&quot;Basel 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