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Computational Linguist Jobs (NOW HIRING)

BC Forward

Linguist II (LLM/AI)

Sunnyvale, CA · On-site

$36 - $40.20/hr

Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or related field. 1+ years of experience in Linguistics, Language Technologies, NLP, or AI/ML data ...

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 ...

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

BC Forward

Linguist

California, MD · On-site

$35 - $40/hr

Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or related field. 1+ years of experience in Linguistics, Language Technologies, NLP, or AI/ML data ...

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

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 ...

Vivum AI

Computational Neuroethologist

Bloomington, IN · On-site

They are seeking a highly skilled Computational Neuroethologist to join their dynamic AI research team, where the candidate will study and map cognitive and biological neural networks to contribute ...

KACE

Linguist - (Hindi)

Houston, TX · On-site

$35/hr

Linguist - (Hindi) Location: Houston, TX Security Clearance: Public Trust (or ability to obtain) Schedule: This is an as-needed, part-time essential services position with work contingent upon ...

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 ...

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Computational Linguist information

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How much do computational linguist jobs pay per hour?

As of Jul 29, 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 July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

English Computational Linguist

CloudFactory

Texas City, TX • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Who we are

At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.

Our culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

  • Mission-driven: we focus on creating economic and social impact.
  • People-centric: we care deeply about our team's growth, well-being, and sense of belonging.
  • Innovative: we embrace change and find better ways to do things, together.
  • Globally connected: we foster collaboration between diverse cultures and perspectives.

If you're ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.

What you'll do
  • Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models
  • Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision
  • Distinguish read-aloud from spontaneous speech to support speech data annotation
  • Write grammar explanations that are linguistically rigorous and genuinely useful to learners
  • Design vocabulary tasks grounded in real usage patterns, not textbook cliches
  • Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data

Requirements

  • Bachelor's degree or higher in linguistics, computational linguistics, or NLP (Master's or PhD a plus)
  • Demonstrated expertise in semantics and morphosyntax, ideally applied to corpus linguistics or NLP annotation work
  • Experience with language data annotation, corpus tagging, or AI/ML training data projects strongly preferred
  • Native or near-native English proficiency (CEFR C2)
Engagement details
  • Type: Contract
  • Time commitment: 10-20 hours per week
  • Project duration: 4 weeks, potential extension