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Linguistic Engineer Jobs (NOW HIRING)

Apex Informatics

Linguist III

Linguist III Location: Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 ... with programming and data analysis with languages and platforms such as Python and SQL with ...

SOSi

Exotic Language Linguists

Fairfax, VA · On-site

Its capabilities include data science, software development, network engineering, intelligence ... The Translator/Transcriber's Linguistic Supervisor shall provide the COR with a printed typed copy ...

SOSi

Exotic Language Linguists

Fairfax, VA · On-site

Its capabilities include data science, software development, network engineering, intelligence ... The Translator/Transcriber 's Linguistic Supervisor shall provide the COR with a printed typed copy ...

SOSi

Exotic Language Linguists

Fairfax, VA · On-site

Its capabilities include data science, software development, network engineering, intelligence ... The Translator/Transcriber's Linguistic Supervisor shall provide the COR with a printed typed copy ...

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

Work closely with linguists, product managers, and engineers to integrate AI into translation pipelines and gather domain feedback. * Continuously evaluate and benchmark model performance using ...

Collabera Digital

PhD level Linguist II

Burlingame, CA · On-site

$74K - $124K/yr

Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI ... Provide linguistic expertise in phonetics, phonology, lexicography, dialectology, and Natural ...

Sensory Inc.

$80 - $100/hr

Develop, review, test, and refine linguistic components of speech recognition and synthesis systems ... Programming experience in at least one language * Ability to work independently and in teams * B.A ...

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Linguistic Engineer information

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$36.5K

$107.3K

$137.5K

How much do linguistic engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for linguistic engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 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.
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What are popular job titles related to Linguistic Engineer jobs?

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Linguistic Engineer jobs near you
Infographic showing various Linguistic Engineer job openings in the United States as of September 2026, with employment types broken down into 33% Full Time, 33% Temporary, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Linguist III

Remote

Apex Informatics
IT Services • 1 - 10 employees
Learn more about Apex Informaticsexternal

Contractor

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Details: Linguist III
Location: Remote
Top 3 must-have HARD skills:
1 Native fluency in French/Italian
2 Experience with language annotation or other forms of data markup and tagging
3 Experience with programming and data analysis with languages and platforms such as Python and SQL with intermediate fluency.
Good to have skills:
Experience in building semantic ontologies, semantic relation frameworks, voice assistance or AI.
Comfortable working in a fast paced, highly collaborative, dynamic work environment
advanced degree preferred" is good enough, which include both master and phd.
Disqualifiers - Years of experience: 2-4 years of experience.
Key performance measurements: Project completion and deliverables.
Degrees or certifications: Master's degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field REQUIRED.
• Master's degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field
• Two (2) or more years of experience in Linguistics, Language Technologies, or NLP
• Native fluency in Mexican Spanish
• Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics
• Experience with database queries and data analysis processes (i.e. SQL, spreadsheets, R, Unix, or others)
• Experience with language annotation or other forms of data markup and tagging
• Experience working with speech and text data in multiple languages
• Excellent communication skills both verbal and written
Preferred Qualifications
• PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field
• Experience in building semantic ontologies and semantic relation frameworks
• Experience with statistical language modeling
• Comfortable working in a fast paced, highly collaborative, dynamic work environment
• Strong organizational skills and detail oriented

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