Job Description

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

Skills:

• Proficiency/Familiarity in Python and Experience with database queries and data analysis processes (i.e. SQL, spreadsheets)
• Experience with regular expression encoding
• Familiar with Large Language Models (LLMs), prompt engineering, and their applications
• Experience with machine learning frameworks, NLP Libraries and Tools
• 2-3 Years of experience working in a Linguist role
• Conversational assistant, ML Support, LLMs

Education/Experience:

• 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

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