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Internship Computational Linguist Jobs (NOW HIRING)

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Exposure to computational linguistics or natural language processing (NLP). * Interest in ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Exposure to computational linguistics or natural language processing (NLP). * Interest in ...

hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Exposure to computational linguistics or natural language processing (NLP). * Interest in ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Exposure to computational linguistics or natural language processing (NLP). * Interest in ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Exposure to computational linguistics or natural language processing (NLP). * Interest in ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

Preferred : • PhD in Computer Science, Computational Linguistics, or closely related field with ... internships, or contributions to open-source projects. • First-authored publications on language ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

PhD in Computer Science, Computational Linguistics, or closely related field with focus on language ... internships, or contributions to open-source projects * First authored publications on language ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... interns in the areas of natural language processing, natural language generation, and deep learning ... mining and computational linguistics. * Demonstrated success in using or (and preferably ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

... Computational Linguistics, Natural Language Processing, or related technical field. * Completion of at least one semester of graduate coursework prior to internship start date. * Strong programming ...

Quadrillion Labs, Inc

Research Intern

New York, NY · On-site

$300K - $500K/yr

Post-train models for scientific and computational research tasks * Build evaluations and ... Currently enrolled in a PhD program in Computer Science, Statistics, or Linguistics * Research ...

Quadrillion Labs, Inc

Research Intern

Manhattan, NY · On-site

Post-train models for scientific and computational research tasks * Build evaluations and ... Currently enrolled in a PhD program in Computer Science, Statistics, or Linguistics * Research ...

Umd

Professor & Director

College Park, MD · On-site

$58K - $254K/yr

The institute pioneers computational science involving national defense, precision medicine, big ... The faculty regularly mentor visiting undergraduates through NSF-funded summer internship research ...

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Internship Computational Linguist information

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$40

$54

$74

How much do internship computational linguist jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship 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 does an internship computational linguist do?

An Internship Computational Linguist assists in developing and improving language technologies by applying linguistic knowledge to computational models. Interns may work on tasks such as annotating linguistic data, building language resources, evaluating natural language processing (NLP) systems, and supporting research projects. They often collaborate with experienced linguists, data scientists, and engineers to help create tools like chatbots, speech recognition systems, or machine translation engines. This internship provides hands-on experience in both linguistics and computer science, preparing students for a career in NLP or related fields.

What kind of projects and collaboration can I expect during an internship as a computational linguist?

As an intern in Computational Linguistics, you'll often work on projects involving natural language processing, data annotation, or algorithm development under the guidance of experienced linguists and engineers. Collaboration is a key part of the role, so expect to participate in regular team meetings, pair programming sessions, and brainstorming discussions with both technical and non-technical colleagues. Interns typically contribute to real-world projects, gaining hands-on experience with linguistic datasets, machine learning models, and evaluation metrics. This environment provides valuable networking opportunities and exposure to the latest industry tools and methodologies.

What are the key skills and qualifications needed to thrive as an internship computational linguist, and why are they important?

To thrive as an Internship Computational Linguist, you need a strong background in linguistics, programming (often Python), and a familiarity with natural language processing concepts, typically supported by relevant coursework or a degree in linguistics, computer science, or a related field. Experience with tools like NLTK, spaCy, and machine learning frameworks, as well as version control systems like Git, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and contribute innovative solutions. These skills are crucial for developing, testing, and refining language technologies that power real-world applications.

What is the difference between Internship Computational Linguist vs Data Scientist?

AspectInternship Computational LinguistData Scientist
Required CredentialsRelevant linguistics or computer science coursework, basic programming skillsDegree in computer science, statistics, or related field; programming skills
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageNatural language processing projects, AI developmentData analysis, predictive modeling, machine learning
Search & Comparison IntentUnderstanding entry-level NLP roles, internshipsComparing data analysis roles, career paths

The Internship Computational Linguist focuses on language processing tasks within AI and NLP projects, often requiring linguistics knowledge and basic programming. In contrast, a Data Scientist works broadly with data analysis, machine learning, and statistical modeling across various industries. Both roles may require programming skills, but their core focus and industry applications differ significantly.

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Internship Computational Linguist jobs near you
Infographic showing various Internship Computational Linguist job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Re-posted 27 days ago

Job description

hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:

About the Role

Babel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.

About the Company

Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.  The actionable insights we deliver safeguard lives and protect critical assets around the world.  Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.

What you will do:
  • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.
  • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
  • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.
  • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
  • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.
What you will bring:

Required:

  • 2-4 years of professional software engineering experience (including high-impact internships or projects).
  • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
  • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
  • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Preferred (Nice to Have):

  • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.
  • Familiarity with Elasticsearch internals or other search/retrieval-based systems.
  • Exposure to computational linguistics or natural language processing (NLP).
  • Interest in Kubernetes and cloud-native architectures.
What success looks like:
  • Month 1-2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3-4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5-6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.
Why this role matters:
The record matching functionality is where Babel Street's signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable - a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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