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Linguistics Internships Jobs (NOW HIRING)

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 ...

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 ...

Goldbelt, Inc.

Lingit Language Program Intern

Juneau, AK · On-site

$16 - $22/hr

The Lingít Language Program Intern is a paid, part-time internship opportunity designed for college students interested in Indigenous language revitalization, education, linguistics, or Alaska ...

Goldbelt

Lingit Language Program Intern

Juneau, AK · On-site

$16 - $22/hr

The Lingit Language Program Intern is a paid, part-time internship opportunity designed for college students interested in Indigenous language revitalization, education, linguistics, or Alaska Native ...

Goldbelt

Lingt Language Program Intern

Juneau, AK · On-site

$16 - $22/hr

The Lingít Language Program Intern is a paid, part-time internship opportunity designed for college students interested in Indigenous language revitalization, education, linguistics, or Alaska ...

Goldbelt, Inc.

Lingít Language Program Intern

Juneau, AK · On-site

$16 - $22/hr

The Lingít Language Program Intern is a paid, part-time internship opportunity designed for college students interested in Indigenous language revitalization, education, linguistics, or Alaska ...

University of Nebraska

Summer ELI Instructor

Kearney, NE · On-site

$1.0K/wk

In addition, the instructor will support ELI internship programs as needed by mentoring interns and ... Master's degree in TESOL, Applied Linguistics, English, or closely related field; or Bachelor ...

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Linguistics Internships information

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$58.4K

$97.5K

How much do linguistics internships jobs pay per year?

As of Aug 6, 2026, the average yearly pay for linguistics internships in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks do linguistics interns typically work on during their internship?

Linguistics Interns are often involved in a variety of projects such as assisting with language data collection and transcription, conducting qualitative or quantitative analysis, supporting fieldwork, or participating in the development of language resources and documentation. Depending on the organization, interns might also help create or refine linguistic models, contribute to research papers, or work on software tools related to natural language processing. Most internships provide opportunities for hands-on learning under the guidance of experienced linguists, fostering both technical and practical skills. These diverse responsibilities give interns valuable insights into real-world applications of linguistics and help prepare them for specialized career paths.

What are the key skills and qualifications needed to thrive in a linguistics internship, and why are they important?

To thrive in a Linguistics Internship, you typically need a background in linguistics or a related field, with strong analytical, research, and writing skills. Familiarity with linguistic analysis software (such as Praat or ELAN), data management tools, and basic programming or statistical analysis can be advantageous. Strong attention to detail, effective communication, and the ability to work collaboratively are important soft skills in this role. These competencies ensure interns can contribute meaningfully to research projects, handle linguistic data accurately, and succeed in a collaborative academic or industry environment.

What is a linguistics internship?

A Linguistics Internship is a temporary, practical work experience opportunity for students or recent graduates in the field of linguistics. Interns may work in various industries, such as technology, education, research, or translation, applying their language analysis and communication skills. Responsibilities often include data annotation, language research, transcription, or assisting with linguistic software development. This hands-on experience helps interns develop professional skills and gain insights into potential career paths in linguistics.

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What cities are hiring for Linguistics Internships jobs? Cities with the most Linguistics Internships job openings:
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Linguistics Internships jobs near you
Infographic showing various Linguistics Internships job openings in the United States as of August 2026, with employment types broken down into 21% Internship, 60% Full Time, 16% Part Time, 1% Temporary, 1% Contract, and 1% Summer. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA

$125K - $150K/yr

Full-time

Re-posted 15 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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