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Linguistic Engineer Jobs (NOW HIRING)

galore staffing

This position involves using deep learning, neuro-linguistic programming (NLP), computer vision, chat bots, and robotics to assist internal teams in driving diverse business outcomes and fostering ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Crystal Equation Corporation

Linguist III

Burlingame, CA · On-site

$43 - $48/hr

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 ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Infotech Sourcing

Linguist III

PR · Remote

Communicate results of linguistic analyses to engineers and research scientists. Skills: Must have strong written and spoken communication skills, especially business and research communication. Must ...

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

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 ...

Service Global, Inc

Linguist III

New York, NY · On-site

Communicate results of linguistic analyses to engineers and research scientists. Skills: * Must have strong written and spoken communication skills, especially business and research communication.

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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 11, 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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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.

Principal Linguistic Engineer (ASR/TTS/NLU)

Dallas, TX • Remote

talentmovers inc
See more jobs at talentmovers incexternal

Contractor

Re-posted 26 days ago

Job description

Principal Linguistic Engineer (ASR/TTS/NLU)

Remote (US)

Role Summary

The Principal Linguistic Engineer provides linguistic science leadership across Arabic. This role acts as the most senior linguistic authority, shaping modeling frameworks, evaluation structures, and linguistic standards across ASR, TTS, and NLU workflows.

Key Responsibilities

  • Lead cross-language linguistic science and strategy for all workflows.
  • Define phonological, morphological, syntactic, and semantic frameworks.
  • Develop and maintain test suites, adversarial data, golden sets, and evaluation rubrics.
  • Handle complex linguistic escalations and edge-case decision-making.
  • Support ASR/TTS error diagnostics and linguistic model analysis.
  • Mentor Leads, Senior Linguists, and Linguistic Engineers.
  • Ensure consistency, accuracy, and rigor across all languages.

Requirements

  • 10–15+ years of experience in linguistics, computational linguistics, or linguistic engineering.
  • Strong expertise in phonetics, phonology, morphology, syntax, semantics, and language modeling.
  • Experience supporting ASR, TTS, or NLU workflows.
  • Excellent analytical and linguistic reasoning ability.