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Linguist III
Career Insights for Interpreter / Translator
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What they do
An Interpreter or Translator uses language and communication skills to convert words and concepts from one spoken language to another, or from spoken language to sign language. Works with written information and texts to create translations that are accurate and capture the style and nuance of the original text.
$63,480 / year median in California
-7% projected decline
Job Description
Linguist III Spectraforce Technologies United States, California, Burlingame Sep 01, 2026 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