What are the responsibilities and job description for the Computational Linguist position at Intelliswift - An LTTS Company?
Job Title: Linguist III
Location: Onsite is Redmond, WA
Duration: 6 Months
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.
Must-Have 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
Nice-to-Have Skills
- Experience with machine learning frameworks, NLP Libraries and Tools
- 2-3 Years of experience working in a Linguist role
- Conversational assistant, ML Support, LLMs
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
Salary : $60 - $65