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Linguistic Engineer Jobs in California (NOW HIRING)

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 ...

AI Linguist - Hybrid

Mountain View, CA · On-site

$38.61 - $45.48/hr

... linguistic data requirements into concise, clear instructions and designs 1 years experience programming in Python or any other scripting language Desired skills: MS or Ph.D. in Computational ...

Apply your linguistic taste to judge which outputs are more natural, conversational, and humanlike, and produce preference data that encodes that judgment. * Partner with researchers and engineers to ...

Apply your linguistic taste to judge which outputs are more natural, conversational, and humanlike, and produce preference data that encodes that judgment. * Partner with researchers and engineers to ...

New

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and ... Degree in Linguistics, Computer Science, or other Computational discipline * Exposure to LLMs ...

NLP Engineer

San Diego, CA · On-site

$72K - $130K/yr

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and ... Degree in Linguistics, Computer Science, or other Computational discipline * Exposure to LLMs ...

Preferred : • PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems. • Proven research and engineering ...

... backend engineers, and UI/UX designers and engineers to define product roadmap and feature ... degree in linguistics or computational linguistics, or related degree in machine learning or ...

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... Computational Linguistics, or a related field * Strong foundational understanding of sequence ...

Build tools that enable linguists and localization teams to review and improve translations. * Develop developer tooling that simplifies localization and internationalization workflows. * Build and ...

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Linguistic Engineer information

See California salary details

$36K

$105.9K

$135.7K

How much do linguistic engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for linguistic engineer in California is $105,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a linguistic engineer?

A Linguistic Engineer is a professional who combines expertise in linguistics and computer science to develop language technologies such as speech recognition systems, natural language processing (NLP) tools, and machine translation software. They work on designing and implementing algorithms that allow computers to understand, interpret, and generate human language. Their work is essential in improving digital assistants, chatbots, and other AI-driven language applications.

How does a linguistic engineer typically collaborate with software developers and data scientists on language technology projects?

Linguistic Engineers often work closely with software developers and data scientists to build and refine natural language processing (NLP) tools and applications. They bring expertise in linguistics and language data, helping to create annotated corpora, develop language models, and ensure the linguistic accuracy of algorithms. Regular communication and teamwork are essential, as Linguistic Engineers translate linguistic requirements into technical specifications, troubleshoot language-related issues, and support model evaluation. This collaborative environment fosters learning and innovation, making cross-functional teamwork a key aspect of the role.

What are the key skills and qualifications needed to thrive as a linguistic engineer, and why are they important?

To thrive as a Linguistic Engineer, you need a strong background in computational linguistics, programming (commonly Python or Java), and natural language processing (NLP), typically supported by a degree in linguistics, computer science, or a related field. Familiarity with NLP frameworks like NLTK or spaCy, machine learning libraries, and experience with annotation tools or speech recognition systems are often required. Attention to detail, analytical thinking, and effective communication are standout soft skills for collaborating with cross-functional teams and solving complex language problems. These skills are crucial for developing accurate language technologies and ensuring that NLP applications perform reliably in real-world scenarios.

What is the difference between Linguistic Engineer vs Speech Scientist?

AspectLinguistic EngineerSpeech Scientist
Required CredentialsDegree in linguistics, computer science, or related field; experience with NLP and programmingDegree in linguistics, speech pathology, or related field; focus on speech processing and acoustics
Work EnvironmentTech companies, AI development, software labsResearch institutions, universities, healthcare, speech technology firms
Employer & Industry UsageTech industry, AI, NLP projectsAcademic, healthcare, speech recognition, and processing industries

While both roles involve language and speech, Linguistic Engineers focus on developing NLP systems and language models, whereas Speech Scientists specialize in understanding and analyzing speech production and perception. The roles often overlap in speech technology projects but differ in their core focus and expertise areas.

Do linguistic engineers get paid well?

Linguistic engineers typically earn competitive salaries that reflect their specialized skills in natural language processing, machine learning, and computational linguistics. Salaries vary based on experience, education, and location, but they are generally above average compared to many other tech roles. Advanced skills in programming and familiarity with AI tools can also influence compensation levels.

What are popular job titles related to Linguistic Engineer jobs in California?

For Linguistic Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Linguistic Engineer jobs in California look for?

The top searched job categories for Linguistic Engineer jobs in California are:

What cities in California are hiring for Linguistic Engineer jobs?

Cities in California with the most Linguistic Engineer job openings:

Infographic showing various Linguistic Engineer job openings in California as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $105,877 per year, or $50.9 per hour.

Facebook - Linguist III

Prolim Global

Burlingame, CA • On-site

Contractor

Re-posted 10 days ago


Job description

PROLIM (www.prolim.com) is currently seeking Linguist III for one of our top Client for Location- Onsite in Redmond, WA or Burlingame, CA

Qualified candidates can directly send your updated resume and contact info via email: alec.dsouza@prolim.com

Job description:

Linguist III

Onsite in Redmond, WA or Burlingame, CA

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

• 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

• Experience with database queries and data analysis processes (i.e. SQL, spreadsheets)

• Proficiency in Python

Preferred (additional) 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

About PROLIM

PROLIM is a leading provider of PLM, IoT and Digital transformation solutions to Global Fortune 1000 companies. With 9 global offices in US, India, and Australia, PROLIM has won 30+ awards and proudly serving over 1200+ customers to innovate and improve their profitability and efficiency. PROLIM was founded in 2005 and is headquartered in Farmington Hills, USA. With the global footprint and expertise in latest technologies, PROLIM can partner with you to speed up your Digital Transformation journey.