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Linguistic Engineer Jobs in Texas (NOW HIRING)

Sensi.ai

Prompt Engineer

Austin, TX · On-site

This role combines linguistic creativity, AI prompt engineering, and real-world experimentation. You'll work closely with product managers, who will provide requirements and prioritization, while you ...

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

This role combines linguistic creativity, AI prompt engineering, and real-world experimentation. You'll work closely with product managers, who will provide requirements and prioritization, while you ...

Cymertek Corporation

AI/ML Engineer

San Antonio, TX · On-site

$90 - $150/hr

... Linguistics, Software Engineering, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

New

Cymertek

AI/ML Engineer

San Antonio, TX · On-site

... Linguistics, Software Engineering, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

Atria Group LLC

Localization Engineer

Irving, TX · On-site

Work with developers, localization program managers, reviewers and release management as necessary to deliver localized content and products on time and with high linguistic quality. Responsible for ...

Photon

Conversational Designer | Dallas

Dallas, TX · On-site

... linguistics, user experience, and dialogue design to craft compelling conversational interactions. Responsibilities: * Collaborate with cross-functional teams, including product managers, developers ...

Photon

Conversational Designer | Dallas

Dallas, TX · On-site

... linguistics, user experience, and dialogue design to craft compelling conversational interactions. Responsibilities: * Collaborate with cross-functional teams, including product managers, developers ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$150K - $210K/yr

... Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from ... Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine ...

KIPP

ESL Program Manager

Houston, TX · On-site

... academic and linguistic outcomes across our campuses. Key Focus Areas * Focus on Achievement ... programming. * Effective Coach: Lead instructional improvement efforts on a portfolio of schools by ...

KIPP

ESL Program Manager

Dallas, TX · On-site

... academic and linguistic outcomes across our campuses. Key Focus Areas * Focus on Achievement ... programming. * Effective Coach: Lead instructional improvement efforts on a portfolio of schools by ...

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All JobsLinguistic Engineer JobsLinguistic Engineer Jobs in Texas

Linguistic Engineer information

See Texas salary details

$34K

$99.9K

$128.1K

How much do linguistic engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for linguistic engineer in Texas is $99,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a linguistic engineer?

A Linguistic Engineer is a professional who combines expertise in linguistics and computer science to develop language technologies such as speech recognition systems, natural language processing (NLP) tools, and machine translation software. They work on designing and implementing algorithms that allow computers to understand, interpret, and generate human language. Their work is essential in improving digital assistants, chatbots, and other AI-driven language applications.

How does a linguistic engineer typically collaborate with software developers and data scientists on language technology projects?

Linguistic Engineers often work closely with software developers and data scientists to build and refine natural language processing (NLP) tools and applications. They bring expertise in linguistics and language data, helping to create annotated corpora, develop language models, and ensure the linguistic accuracy of algorithms. Regular communication and teamwork are essential, as Linguistic Engineers translate linguistic requirements into technical specifications, troubleshoot language-related issues, and support model evaluation. This collaborative environment fosters learning and innovation, making cross-functional teamwork a key aspect of the role.

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

To thrive as a Linguistic Engineer, you need a strong background in computational linguistics, programming (commonly Python or Java), and natural language processing (NLP), typically supported by a degree in linguistics, computer science, or a related field. Familiarity with NLP frameworks like NLTK or spaCy, machine learning libraries, and experience with annotation tools or speech recognition systems are often required. Attention to detail, analytical thinking, and effective communication are standout soft skills for collaborating with cross-functional teams and solving complex language problems. These skills are crucial for developing accurate language technologies and ensuring that NLP applications perform reliably in real-world scenarios.

What is the difference between Linguistic Engineer vs Speech Scientist?

AspectLinguistic EngineerSpeech Scientist
Required CredentialsDegree in linguistics, computer science, or related field; experience with NLP and programmingDegree in linguistics, speech pathology, or related field; focus on speech processing and acoustics
Work EnvironmentTech companies, AI development, software labsResearch institutions, universities, healthcare, speech technology firms
Employer & Industry UsageTech industry, AI, NLP projectsAcademic, healthcare, speech recognition, and processing industries

While both roles involve language and speech, Linguistic Engineers focus on developing NLP systems and language models, whereas Speech Scientists specialize in understanding and analyzing speech production and perception. The roles often overlap in speech technology projects but differ in their core focus and expertise areas.

Do linguistic engineers get paid well?

Linguistic engineers typically earn competitive salaries that reflect their specialized skills in natural language processing, machine learning, and computational linguistics. Salaries vary based on experience, education, and location, but they are generally above average compared to many other tech roles. Advanced skills in programming and familiarity with AI tools can also influence compensation levels.

What are popular job titles related to Linguistic Engineer jobs in Texas?

For Linguistic Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Linguistic Engineer jobs in Texas look for?

The top searched job categories for Linguistic Engineer jobs in Texas are:

What cities in Texas are hiring for Linguistic Engineer jobs?

Cities in Texas with the most Linguistic Engineer job openings:

Linguistic Engineer jobs near you
Infographic showing various Linguistic Engineer job openings in Texas as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $99,949 per year, or $48.1 per hour.

Prompt Engineer

Sensi.ai

Austin, TX • On-site

Full-time

Re-posted 20 days ago

Job description

Why Join Sensi.AI

Sensi.AI is transforming the world of home care through agentic AI - and we’re just getting started. As a hyper-growth startup, every team member has the opportunity to make a real impact on people’s lives while working as part of a global, collaborative team in a flexible hybrid environment.


About the Role

We are looking for a Prompt Engineer to design, optimize, and continuously improve multi-turn conversational experiences across multiple Sensi.AI product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation.

You’ll work closely with product managers, who will provide requirements and prioritization, while you focus on crafting and iterating prompts, testing in real-world scenarios, and delivering natural, trustworthy interactions.

This role is based in Austin, TX, with a hybrid work setup, combining in-office collaboration with remote flexibility.


Key Responsibilities

Conversational Design and Prompting

  • Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.
  • Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.


Continuous Testing and Improvement

  • Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.
  • Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.


Collaboration and Delivery

  • Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.
  • Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.


Documentation and Knowledge Sharing

  • Maintain a prompt library with flows, system prompts, and version history and set guidelines for tone, multilingual consistency, and testing.
  • Share insights and learnings with the broader product and AI teams.

Requirements:
  • Proven experience designing multi-turn conversational systems, such as chatbots, voice assistants, or customer service agents.
  • Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines).
  • Ability to define consistent, persona-driven conversational styles across multiple agents and products.
  • Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain).
  • Excellent writing and linguistic skills, with attention to tone, clarity, and cultural sensitivity.
  • Basic programming skills (Python preferred) for testing and prototyping prompts.
  • Strong cross functional partnership and communications skills.


Nice-to-Have

  • Background in healthcare, caregiving, or other regulated industries.
  • Multi-lingual proficiency.


Sensi celebrates diversity and uphold equal opportunity in our hiring practices. Our approach fosters an inclusive environment that sparks innovation and reflects the vibrant communities we serve. All persons shall have the opportunity to be considered for employment without regard to any characteristic protected by applicable federal, state, or local laws and ordinances.