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Linguistic Programming Jobs (NOW HIRING)

As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge ... Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP ...

As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge ... Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP ...

This position involves using deep learning, neuro-linguistic programming (NLP), computer vision, chat bots, and robotics to assist internal teams in driving diverse business outcomes and fostering ...

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We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering ...

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Linguist III

PR · Remote

Communicate results of linguistic analyses to engineers and research scientists. Skills: Must have strong written and spoken communication skills, especially business and research communication. Must ...

Communicate results of linguistic analyses to engineers and research scientists. Skills: * Must have strong written and spoken communication skills, especially business and research communication.

Linguist III Location: Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 ... with programming and data analysis with languages and platforms such as Python and SQL with ...

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 ...

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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
Principal Linguistic Engineer (ASR/TTS/NLU)

Principal Linguistic Engineer (ASR/TTS/NLU)

talentmovers inc

Dallas, TX • Remote

Contractor

Posted 14 days ago

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Job description

Principal Linguistic Engineer (ASR/TTS/NLU)

Remote (US)

Role Summary

The Principal Linguistic Engineer provides linguistic science leadership across Arabic. This role acts as the most senior linguistic authority, shaping modeling frameworks, evaluation structures, and linguistic standards across ASR, TTS, and NLU workflows.

Key Responsibilities

  • Lead cross-language linguistic science and strategy for all workflows.
  • Define phonological, morphological, syntactic, and semantic frameworks.
  • Develop and maintain test suites, adversarial data, golden sets, and evaluation rubrics.
  • Handle complex linguistic escalations and edge-case decision-making.
  • Support ASR/TTS error diagnostics and linguistic model analysis.
  • Mentor Leads, Senior Linguists, and Linguistic Engineers.
  • Ensure consistency, accuracy, and rigor across all languages.

Requirements

  • 10–15+ years of experience in linguistics, computational linguistics, or linguistic engineering.
  • Strong expertise in phonetics, phonology, morphology, syntax, semantics, and language modeling.
  • Experience supporting ASR, TTS, or NLU workflows.
  • Excellent analytical and linguistic reasoning ability.