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Linguistic Programming Jobs (NOW HIRING)

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

Rime Labs

Forward Deployed Linguist

San Francisco, CA · On-site

$115K - $160K/yr

You'll be the linguistic counterpart to our Forward Deployed Engineer, embedded with customers from pilot through production and report into the Revenue department. You'll also work directly with R&D ...

Sphinx LLC

CAT III Gujarati Linguist

Washington, DC · On-site

$120K - $130K/yr

... linguistic analysis software; experience with secure systems and workflows. - Knowledge of domain‑specific terminology (e.g., medicine, scientific, engineering, legal) and the ability to apply it ...

CSM Solutions Inc

Kanuri Linguist

Augusta, GA · On-site

CAT III Linguists shall provide interpretation and translation services as required by the ... engineering, legal, etc. and identify and extract information components meeting military ...

CSM Solutions Inc

Linguist Tamachek

Augusta, GA · On-site

CAT III Linguists shall provide interpretation and translation services as required by the ... engineering, legal, etc. and identify and extract information components meeting military ...

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Linguistic Programming information

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$44.5K

$70.9K

$99K

How much do linguistic programming jobs pay per year?

As of Jul 2, 2026, the average yearly pay for linguistic programming in the United States is $70,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Linguistic Programmer, and why are they important?

To thrive as a Linguistic Programmer, you need a solid background in computational linguistics, programming (commonly Python or Java), and a strong understanding of natural language processing (NLP) concepts. Experience with NLP libraries and frameworks such as NLTK, spaCy, or TensorFlow, as well as familiarity with version control systems, is typically required. Strong analytical thinking, attention to detail, and effective communication skills make professionals excel in this role. These competencies are essential for designing and refining language technologies that power applications like chatbots, translation, and speech recognition systems.

What is the difference between Linguistic Programming vs Speech Therapist?

AspectLinguistic ProgrammingSpeech Therapist
CredentialsCertified NLP PractitionerLicensed Speech-Language Pathologist (SLP)
Work EnvironmentWorkshops, coaching sessions, corporate settingsHospitals, clinics, schools
Industry UsagePersonal development, coaching, communication trainingHealthcare, rehabilitation, education
Common Search IntentUnderstanding NLP techniques for communicationSpeech and language disorder treatment

While both roles focus on communication, Linguistic Programming (NLP) emphasizes psychological techniques to improve personal and professional interactions, often in coaching or self-help contexts. Speech Therapists specialize in diagnosing and treating speech and language disorders, working within healthcare settings. Their credentials, work environments, and industry applications differ significantly, catering to distinct client needs.

What is linguistic programming?

Linguistic programming involves the study and application of computer programming techniques to process, analyze, and generate human language. It often overlaps with fields like computational linguistics and natural language processing (NLP), enabling computers to understand or produce language in ways that are meaningful to humans. Professionals in this field develop algorithms for tasks such as machine translation, speech recognition, sentiment analysis, and chatbot development. Linguistic programming is essential for advancing technologies like voice assistants, automated customer service, and language-based AI applications.

How do professionals in Linguistic Programming typically collaborate with cross-functional teams to implement language-based solutions?

In Linguistic Programming roles, collaboration with cross-functional teams such as data scientists, software engineers, and subject matter experts is essential. Professionals often participate in joint meetings to define project goals, align on data requirements, and review language model outputs. Regular communication ensures that linguistic models are tailored to the specific needs of the product or service, and feedback from multiple stakeholders helps refine algorithms for optimal accuracy and usability. This collaborative structure supports ongoing learning and fosters innovation within language-focused projects.
More about Linguistic Programming jobs
What job categories do people searching Linguistic Programming jobs look for? The top searched job categories for Linguistic Programming jobs are:
Linguistic Programming jobs near you
NLP/Linguistics Software Engineer

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Posted 9 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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