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Linguist III

Job in Burlingame, San Mateo County, California, 94012, USA
Listing for: Spectraforce Technologies
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below

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
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