Linguist III Onsite is Redmond, WA or Burlingame, CA 6 Months Summary We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products. We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering, rule-based classifier encoding, and quality evaluations. Job Responsibilities Provide linguistic expertise while delivering data for large language models Collaborate with other linguists and data operations teams in data collection, data curation, and annotation efforts Evaluate and curate data sets for ML models using LLM solutions Assess model performance and data quality Prompt engineering Create guidelines in support of labeling projects that enable annotators to consistently label language data at quality Collaboratively develop complex and consistent linguistic analyses Required Qualifications Bachelor's degree in general Linguistics, Computational Linguistics, or related field Experience with regular expression encoding Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics Proficiency in Python Experience with database queries and data analysis processes (i.e. SQL, spreadsheets) Experience working with speech and text data Familiar with Large Language Models (LLMs), prompt engineering and their applications Comfortable working in a fast paced, highly collaborative, dynamic work environment Strong organizational skills and detail oriented Excellent communication skills both verbal and written Preferred Qualifications Master's or PhD in Linguistics, language technologies, computational linguistics, or related field Experience with machine learning frameworks, NLP Libraries and Tools 2-3 Years of experience working in a Linguist role, Conversational assistant, ML Support, LLMs Years of Experience 4-5+ Years Must-Have Skills 1. Proficiency/Familiarity in Python and Experience with database queries and data analysis processes (i.e. SQL, spreadsheets) 2. Experience with regular expression encoding 3. Familiar with Large Language Models (LLMs), prompt engineering and their applications Nice-to-Have Skills 1. Experience with machine learning frameworks, NLP Libraries and Tools 2. 2-3 Years of experience working in a Linguist role 3. Conversational assistant, ML Support, LLMs Degrees/Certifications Bachelor's degree in general Linguistics, Computational Linguistics, or related field required, Master/PhDs would be preferred not required Day-to-Day Responsibilities Provide linguistic expertise while delivering data for large language models Collaborate with other linguists and data operations teams in data collection, data curation, and annotation efforts Evaluate and curate data sets for ML models using LLM solutions Assess model performance and data quality Prompt engineering Create guidelines in support of labeling projects that enable annotators to consistently label language data at quality Collaboratively develop complex and consistent linguistic analyses