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Computational Linguistics Jobs (NOW HIRING)

Solventum

ENGR SR COMPUTATIONAL LINGUIST

Pittsburgh, PA · On-site +1

$106K - $145K/yr

Master's degree in a Linguistics or related field with an emphasis on computational linguistics, corpus analysis, syntax/morphology or related. * Experience with Python. * Proficiency with regular ...

Healthcare

ENGR SR COMPUTATIONAL LINGUIST

Pittsburgh, PA · On-site

$106K - $145K/yr

Master's degree in a Linguistics or related field with an emphasis on computational linguistics, corpus analysis, syntax/morphology or related. * Experience with Python. * Proficiency with regular ...

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Apex Informatics

Linguist III

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 ...

PROLIM Corporation

Linguist (Korean)

Burlingame, CA

Master's degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field * Native or near-native fluency in Korean, and ...

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

SQL, spreadsheets) • Proficiency in Python Preferred (additional) Qualifications • Master's or PhD in Linguistics, language technologies, computational linguistics, or related field • ...

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Computational Linguistics information

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How much do computational linguistics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for computational linguistics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Computational Linguistics vs Natural Language Processing (NLP)?

AspectComputational LinguisticsNatural Language Processing (NLP)
FocusTheoretical and linguistic aspects of language processingPractical applications and technology development
SkillsLinguistics, programming, data analysisMachine learning, software engineering, linguistics
Work EnvironmentResearch labs, academia, industry R&DTech companies, startups, software development
Common UsageLanguage understanding, linguistic theoryChatbots, speech recognition, translation tools

Computational Linguistics and Natural Language Processing are closely related fields. While Computational Linguistics emphasizes linguistic theory and understanding language structure, NLP focuses on developing practical tools and applications. Both require programming skills and often overlap in industry and research settings, but their core objectives differ: one leans toward theory, the other toward application.

How much does a computational linguist earn?

The average salary for a computational linguist varies by experience and location but typically ranges from $70,000 to $130,000 annually. Entry-level positions may start around $60,000, while experienced professionals with specialized skills in natural language processing and machine learning can earn over $150,000.

What is computational linguistics?

Computational linguistics is an interdisciplinary field that combines linguistics and computer science to study how computers can process and understand human language. Professionals in this area develop algorithms and models to analyze, generate, and translate language in applications like speech recognition, machine translation, and natural language processing. The field plays a crucial role in advancing technologies such as virtual assistants, chatbots, and language learning tools.

What kind of jobs are in computational linguistics?

Computational linguistics offers roles such as natural language processing (NLP) engineer, language data scientist, speech recognition specialist, and computational linguist. These jobs typically involve developing algorithms, working with large language datasets, and applying machine learning techniques using tools like Python, Java, or specialized NLP libraries.

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

To thrive as a Computational Linguist, you need a solid background in linguistics, computer science, and programming languages such as Python or Java, often supported by an advanced degree in computational linguistics or a related field. Familiarity with NLP frameworks (like NLTK, spaCy, or TensorFlow), linguistic annotation tools, and machine learning algorithms is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help professionals excel in multidisciplinary teams. These competencies are vital for developing robust language technologies and advancing research in natural language processing.

What are some common challenges faced by computational linguists when working with real-world language data?

Computational linguists often encounter challenges such as handling noisy, unstructured, or ambiguous language data, which can complicate tasks like natural language understanding and machine translation. Real-world data frequently includes slang, idioms, and regional variations, requiring robust models and constant updates. Collaboration with data scientists, software engineers, and linguists is essential to develop effective language technologies and refine algorithms based on user feedback and evolving linguistic trends.

What do computational linguists do?

Computational linguists develop algorithms and models to analyze, understand, and generate human language using techniques from linguistics and computer science. They work on natural language processing applications such as speech recognition, machine translation, and text analysis, often utilizing programming languages and linguistic data. Their work supports the development of language-based AI systems and requires strong analytical and technical skills.

Does the FBI hire linguists?

Yes, the FBI employs linguists as part of their language analysis and translation teams, often requiring proficiency in multiple languages and security clearances. These roles support investigations, intelligence analysis, and national security efforts, and candidates typically need relevant language skills and experience in linguistics or related fields.
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Computational Linguistics jobs near you
Infographic showing various Computational Linguistics job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
French Senior Computational Linguist -- NLP & Data

French Senior Computational Linguist -- NLP & Data

Defined.ai

Seattle, WA

Full-time

Posted 27 days ago

Job description

A leading AI firm is seeking a Senior Computational Linguist fluent in French and English to enhance AI technologies for top companies. Responsibilities include annotating linguistic data, analyzing data, and developing NLP/NLU systems. Ideal candidates should have a degree in Linguistics or Computational Linguistics and experience in programming and linguistic analysis. The position is full-time and located in Seattle with a competitive salary range. #J-18808-Ljbffr

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