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Natural Language Processing Jobs in Texas (NOW HIRING)

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 ...

Senior AI Engineer

Coppell, TX · On-site

$96K - $132K/yr

... Natural Language Processing (NLP). • Understand multi-agent system collaboration and operation. • Deploy AI models using cloud platforms like AWS, Google Cloud, or Azure. • Design AI-driven ...

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 ...

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 ...

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 ...

Implement natural language processing (NLP) capabilities for enhanced user interactions * Create conversational flows that provide intuitive and effective user experiences * Integrate chatbots with ...

Lead ML Engineer

Dallas, TX

$101K - $134K/yr

... Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) . * Must have strong exp with GCP • Working knowledge of standard ML packages like scikit learn, vader sentiment ...

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Natural Language Processing information

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$13

$23

$45

How much do natural language processing jobs pay per hour?

As of Jun 9, 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 are the key skills and qualifications needed to thrive in the Natural Language Processing position, 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 roles?

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.

What kind of jobs use natural language processing?

Natural language processing (NLP) is used in roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These jobs involve developing algorithms for language understanding, sentiment analysis, chatbots, and voice recognition systems, often requiring programming skills in Python and familiarity with NLP libraries like NLTK or spaCy.

What is a Natural Language Processing job?

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 most commonly searched types of Natural Language Processing jobs in Texas? The most popular types of Natural Language Processing jobs in Texas 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:
Infographic showing various Natural Language Processing job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% 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

Kore.AI developer with React JS - TX

Photon

Addison, TX

$100K - $117K/yr

Other

Posted 9 days ago


Job description

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.