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Internship 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

$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 ...

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

Lingt Language Program Intern

Juneau, AK

$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

$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, 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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How much do internship linguist jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for internship linguist in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects and tasks can an Internship Linguist expect to work on?

As an Internship Linguist, you may be involved in a variety of tasks such as annotating linguistic data, supporting language research, assisting with speech or text analysis, and developing language resources. You'll often work alongside experienced linguists, data scientists, and engineers, contributing to projects that impact products like speech recognition systems, translation tools, or conversational AI. Most internships provide structured mentorship, regular feedback, and opportunities to learn industry-standard tools. This hands-on experience not only builds your technical foundation but also exposes you to real-world language technology applications, preparing you for future roles in the field.

What are the key skills and qualifications needed to thrive in the Internship Linguist position, and why are they important?

To thrive as an Internship Linguist, you need a solid understanding of linguistic theory, language analysis, and strong written and verbal communication skills, often supported by undergraduate or graduate coursework in linguistics or a related field. Familiarity with linguistic annotation tools, corpus analysis software, and proficiency in at least one or more languages are typically required. Attention to detail, critical thinking, and the ability to collaborate effectively in diverse teams are important soft skills. These competencies enable Internship Linguists to accurately analyze language data, support research projects, and contribute meaningfully to team objectives in fast-paced, interdisciplinary environments.

What is an Internship Linguist job?

An Internship Linguist job involves assisting with language-related research, data analysis, and linguistic tasks such as transcription, annotation, or translation. Interns may work with computational linguistics, sociolinguistics, or applied linguistics, depending on the organization's focus. Responsibilities often include supporting projects in natural language processing (NLP), corpus analysis, or language education. This role provides hands-on experience with linguistic tools, methodologies, and real-world language applications. It's ideal for students or recent graduates looking to gain practical experience in the field.

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What cities are hiring for Internship Linguist jobs? Cities with the most Internship Linguist job openings:
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Internship Linguist jobs near you
Infographic showing various Internship Linguist job openings in the United States as of June 2026, with employment types broken down into 60% Internship, 20% As Needed, 10% Full Time, and 10% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.
NLP/Linguistics Software Engineer

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Posted 10 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.