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Natural Language Processing Jobs in Texas (NOW HIRING)

Photon

Kore.AI developer with React JS - TX

Addison, TX

$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 ...

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 ...

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 ...

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 ...

Alliance Credit Union

Software Developer

Lubbock, TX · On-site

$70K - $90K/yr

The lab will be equipped with capabilities in text analytics/Natural Language Processing, social media analytics, Big Data advanced analytics and Machine Learning. Role You will be responsible for ...

Suncap Technology

Required Skills

Austin, TX · On-site

Interested in Text analytics, Natural Language processing, Classification and Clustering * Significant experience creating clean, insightful dashboards for executives and non-technical audiences ...

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How much do natural language processing jobs pay per hour?

As of Jul 24, 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.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

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 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.

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 data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
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:
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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 July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $49,365 per year, or $23.7 per hour.

melia Developer ( Voice & Chat ) at Location: San Antonio, TX / Plano, TX

Volto USA

Plano, TX • On-site

Contractor

Posted 8 days ago

Job description

Amelia Developer ( Voice & Chat )
Key Skills & Experience to Highlight
• Conversational AI Platform Experience: Direct experience with Amelia (formerly IPsoft) is primary.
• Voicebot Development: Expertise in speech-to-text, text-to-speech, and designing natural, human-like voice conversations.
• NLP & Machine Learning: Strong background in Natural Language Processing, intent recognition, and entity extraction.
• Integration Skills: Experience connecting bots to backend systems via APIs (REST, SOAP, XML).Must have strong experience integrating Amelia with tools like AWS Connect, Backend APIs, Webhooks, ITSM tools like Servicenow, Jira, Rally, Contact center technologies, ADS, SSO, LDAP, Scripting in Python Javascript, React Js
• Technical Proficiencies: Python (4+ years preferred), JSON, and familiarity with ServiceDesk or IT Ops automation.
• Solution Architecture: Ability to design, build, and deploy conversational solutions for customer service or internal IT
Skills: CTI Cisco~Genesys Inbound Voice