1

Linguistic Engineer Jobs (NOW HIRING)

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 ...

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 ...

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

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 ...

You'll work across engineering, quality, localization, and UX teams, applying your linguistic expertise to ensure our systems work well across different contexts and locales. Your systematic and ...

You'll work across engineering, quality, localization, and UX teams, applying your linguistic expertise to ensure our systems work well across different contexts and locales. Your systematic and ...

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 ...

next page

Showing results 1-20

Linguistic Engineer information

See salary details

$36.5K

$107.3K

$137.5K

How much do linguistic engineer jobs pay per year?

As of May 29, 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 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.

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 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.

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.

More about Linguistic Engineer jobs
What cities are hiring for Linguistic Engineer jobs? Cities with the most Linguistic Engineer job openings:
What states have the most Linguistic Engineer jobs? States with the most job openings for Linguistic Engineer jobs include:
Infographic showing various Linguistic Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 25% Physical, and 75% Hybrid job distribution, with an average salary of $107,282 per year, or $51.6 per hour.
Principal Linguistic Engineer (ASR/TTS/NLU)

Principal Linguistic Engineer (ASR/TTS/NLU)

talentmovers inc

Dallas, TX • Remote

Contractor

Posted 11 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.