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Natural Language Processing Jobs in Texas (NOW HIRING)

Photon

Kore.AI developer with React JS - TX

Addison, TX · On-site

$100K - $117K/yr

Experience with natural language processing (NLP) and machine learning concepts. * Familiarity with RESTful APIs and web services. * Knowledge of other front-end frameworks (e.g., Angular, Vue.js) is ...

THOMSON REUTERS

Applied Scientist Intern

Frisco, TX

$14 - $18.75/hr

We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design, to drive the company's digital and AI transformation. Thomson ...

New

Siri InfoSolutions Inc

Angular Developer

Irving, TX · On-site

$55 - $65/hr

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

Purple Drive

Angular Developer

Irving, TX · On-site

$52.50 - $64.25/hr

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs Evaluate and compare different AI model ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity with AWS ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

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How much do natural language processing jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for natural language processing in Texas is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $27.55 per hour, depending on experience, location, and employer.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Texas?

The most popular types of Natural Language Processing jobs in Texas are:

What are popular job titles related to Natural Language Processing jobs in Texas?

For Natural Language Processing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Texas look for?

The top searched job categories for Natural Language Processing jobs in Texas are:

What cities in Texas are hiring for Natural Language Processing jobs?

Cities in Texas with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $49,365 per year, or $23.7 per hour.

Kore.AI developer with React JS - TX

Photon

Addison, TX • On-site

$100K - $117K/yr

Full-time

Re-posted 29 days ago

Job description

Responsibilities:

  • Design, develop, and deploy AI solutions using the Kore.AI platform.
  • Create and configure chatbots, including intents, entities, and dialog flows.
  • Integrate the solution with various back-end systems and APIs.
  • Develop and maintain user interfaces using ReactJS.
  • Collaborate with UI/UX designers to implement responsive and visually appealing designs.

Qualifications:

  • Proven experience in developing conversational AI solutions using the Kore.AI platform.
  • Strong proficiency in ReactJS and related front-end technologies (HTML, CSS, JavaScript).
  • Experience with natural language processing (NLP) and machine learning concepts.
  • Familiarity with RESTful APIs and web services.
  • Knowledge of other front-end frameworks (e.g., Angular, Vue.js) is a plus.
  • Experience with version control systems, such as Git.

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