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Linguist III

Job in Burlingame, San Mateo County, California, 94011, USA
Listing for: Spectraforce Technologies
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Linguist IIIOnsite is Redmond, WA or Burlingame, CA12 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, corpuslinguistics, 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 Tools2-3 Years of experience working in a Linguist role, Conversational assistant, ML Support, LLMsYears 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, LLMsDegrees/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

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