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Computational Linguist Jobs (NOW HIRING)

Roku

Senior Computational Linguist

Austin, TX · On-site

About the Role We are looking for a top-notch Sr. Computational Linguist who is passionate about using language data and modeling to help our users connect effortlessly to Roku content and ...

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 ...

Meta

Linguistic Engineer

Redmond, WA

$138K/yr

Experience as data scientist, software engineer, computational linguist or in similar role * Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack

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 • ...

Welocalize, Inc.

Korean Senior Linguist

Houston, TX · On-site

Performing lead linguist role on assigned accounts * Taking ownership of deliveries that were translated internally or by external partners for one or more accounts into their target language

Welocalize, Inc.

Korean Senior Linguist

Houston, TX · On-site

Performing lead linguist role on assigned accounts * Taking ownership of deliveries that were translated internally or by external partners for one or more accounts into their target language

Leidos

Senior Farsi Linguist

Vienna, VA · On-site

$92K - $166K/yr

Senior Farsi Linguist Make a Global Impact - Join the Mission at Leidos Are you ready to apply your linguistic expertise to meaningful work that directly supports national security? At Leidos , we ...

Alljoined

Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our research. Using computational and neuroimaging techniques, you will design and iterate on stimulus ...

Leidos

Chinese Linguist

Vienna, VA · On-site

We are seeking a talented linguist who can tackle a full range of activities and thrive in situations requiring a professional level of expertise. Our ideal candidate is an expert at identifying and ...

Leidos

Chinese Linguist

Vienna, VA · On-site

We are seeking a talented linguist who can tackle a full range of activities and thrive in situations requiring a professional level of expertise. Our ideal candidate is an expert at identifying and ...

Meta

Linguistic Engineer

Burlingame, CA

$138K/yr

Experience as data scientist, software engineer, computational linguist or in similar role * Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack

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How much do computational linguist jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for computational linguist 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 a Computational Linguist?

A computational linguist is a type of computer professional who develops programs that help computers create human language. You must be experienced with programming artificial intelligence (AI) to translate typed words into corresponding linguistics. In this career, you develop programming that can translate data into a variety of languages. You may even work on computer programming that can translate data from one human language to another. As a computational linguist, you are skilled in natural language processing (NLP) and the use of programming languages like Java.

What is a computational linguist?

A computational linguist is a professional who applies computer science and linguistic principles to develop technologies that process and understand human language. This can include building speech recognition systems, machine translation tools, chatbots, and natural language processing (NLP) applications. Computational linguists often work at the intersection of linguistics, computer programming, and data science to help computers interpret and generate human language in meaningful ways.

Is computational linguistics still relevant?

Computational linguistics remains a relevant field, as it underpins many natural language processing applications such as speech recognition, machine translation, and chatbots. Computational linguists develop algorithms and models that enable computers to understand and generate human language, which continues to be in high demand across technology industries.

How much do FBI linguists make?

FBI linguists typically earn between $60,000 and $100,000 annually, depending on experience, language proficiency, and security clearance level. Salaries can vary based on location, specialization, and federal pay scales, with additional benefits such as health insurance and retirement plans.

What does a Computational Linguist do?

A Computational Linguist develops algorithms and models to enable computers to understand, interpret, and generate human language. They work with natural language processing (NLP) tools, machine learning techniques, and linguistic data to improve language-based applications such as speech recognition, translation, and chatbots.

What are some common challenges faced by computational linguists when integrating language models into real-world applications?

Computational linguists often encounter challenges such as handling ambiguous language, adapting models to domain-specific jargon, and ensuring consistent performance across multiple languages or dialects. Additionally, integrating language models into production systems requires close collaboration with software engineers and data scientists to ensure scalability and efficiency. Keeping up with rapid advancements in natural language processing technologies also demands continuous learning and adaptation.

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 strong background in linguistics, computer science, and programming languages like Python, often supported by an advanced degree in computational linguistics or a related field. Familiarity with natural language processing (NLP) frameworks such as NLTK, spaCy, or TensorFlow, and experience with machine learning algorithms and corpus analysis tools are typically required. Strong analytical thinking, problem-solving skills, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills are crucial for developing language technologies that accurately process and analyze human language data in real-world applications.

How much does a Computational Linguist earn?

The average salary for a Computational Linguist in the United States ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in natural language processing and machine learning can earn higher salaries, often exceeding $150,000.

What is the difference between Computational Linguist vs Data Scientist?

AspectComputational LinguistData Scientist
Required CredentialsDegree in linguistics, computer science, or related fields; knowledge of NLP toolsDegree in statistics, computer science, or related fields; proficiency in programming and analytics
Work EnvironmentResearch labs, tech companies, AI firms focusing on language processingBusiness analytics, tech companies, finance, healthcare analyzing large datasets
Employer & Industry UsageTech companies, research institutions, AI startupsTech firms, finance, consulting, healthcare
Common Search & Comparison IntentUnderstanding roles in NLP and language techAnalyzing data-driven roles in tech and business

Computational Linguists focus on developing algorithms for language understanding, often working on NLP projects. Data Scientists analyze large datasets to extract insights across various industries. While both roles require programming skills, Computational Linguists specialize in language and linguistics, whereas Data Scientists focus on data analysis and modeling.

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Computational Linguist jobs near you
Infographic showing various Computational Linguist job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 62% Full Time, 23% Part Time, and 11% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Senior Computational Linguist

Senior Computational Linguist

Roku

Austin, TX • On-site

Other

Posted 11 days ago

Job description

About the Team 

Roku's Voice Team aims to develop the best voice system for TV.  We enable users to launch channels, search for movies, TV shows, sports, and music, discover new content, and control their TVs and Smart Home devices with natural spoken requests, including hands-free, in multiple languages.  Our goal is to help people find what they want and make it easier for people to stream.  We accomplish this using state-of-the-art technology and engineering to make it happen, with consideration for the customer as the center of all that we do.

About the Role

We are looking for a top-notch Sr. Computational Linguist who is passionate about using language data and modeling to help our users connect effortlessly to Roku content and functionality.  In this role, you will have the opportunity to analyze data from our users around the world and incorporate your insights into our products.      

You will be joining a talented, high-performance team with a history of delivery.  We are looking for someone who can help us maintain this accelerated pace and continue delivering high quality as we grow.

What you'll be doing
  • You will develop models to extend voice support to new Roku features and across languages internationally
  • You will collect and analyze spoken and written language data to improve our models, capturing a wide variety of expressions in rule-based or machine-learned systems
  • You will maintain our existing systems, recognize issues and apply the right tools to debug and solve problems
We're excited if you have
  • Master's or Ph.D. degree in Linguistics, Computer Science, or related field
  • Proficiency in at least one non-English language, ideally at the native or near non-native competence level, with Spanish or Portuguese preferred
  • At least two years of experience with spoken natural language applications
  • Solid knowledge of core linguistics: semantics, syntax, morphology, phonology, phonetics, discourse, and dialogue
  • Experience with rule-based grammars and machine learning for NLP, including LLM and generative AI
  • Practical experience with cleaning, manipulating, and analyzing large natural language data sets
  • Experience with scripting languages, preferably Python
  • Experience creating and adapting database queries in SQL
  • Experience with version control and collaborative software development
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