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Natural Language Processing Jobs in Texas (NOW HIRING)

webAI Inc

Staff R&D AI Engineer

Austin, TX · On-site

Strong expertise in both computer vision and natural language processing with hands-on model development experience * Proficiency in PyTorch and/or TensorFlow with experience training and deploying ...

Oxy

Senior AI Language Model Engineer

Houston, TX

$99K - $137K/yr

Strong foundation in large language models (LLMs) and natural language processing (NLP), with practical experience demonstrated through GitHub repositories, research publications, or a portfolio.

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Strong foundation in large language models (LLMs) and natural language processing (NLP), with practical experience demonstrated through GitHub repositories, research publications, or a portfolio.

SWBC

Senior Data Scientist

San Antonio, TX · On-site

... and natural language processing capabilities. • Lead the development and enhancement of Clara, SWBC's AI decision assistant, including context engineering within Omni, model evaluation, and ...

FreedomPay

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... Natural Language Processing like named entity recognition, information extraction, and sentiment analysis • Comfort working in a Unix environment Company : FreedomPay is a white label e-commerce ...

THOMSON REUTERS

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...

Gartner

Sr Data Scientist

Irving, TX

Natural Language Processing and text mining * Search and Recommendation systems * LLM fine-tuning, and model optimization * AI agent architectures, orchestration, and observability * Strong ...

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

S. Citizenship Preferred : • Experience with cloud platforms (e.g., AWS, GCP) • Knowledge of deep learning techniques • Expertise in natural language processing (NLP) • Understanding of ...

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

Citizenship) Preferred : • Knowledge of deep learning frameworks • Familiarity with cloud platforms • Experience with A/B testing • Proficiency in natural language processing • ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities. * Lead the ...

Swbc

Senior Data Scientist

San Antonio, TX

Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities. * Lead the ...

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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 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:
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 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.

AI/ML Application Developer (F2F Interview in Dallas, TX & Charlotte, NC)

Saransh Inc

Dallas, TX • On-site

Contractor

Posted 3 days ago

Job description

Role: AI/ML Application Developer
Location: Dallas, TX (work from office in Hybrid mode)
Job Type: Contract
 
Note: In-person interview mandate available over Dallas, TX and Charlotte, NC
 
Required Skills:
  • GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK.
  • Should be very well versed in deployment process too.
 
Responsibilities:
  • Oversee the integration of Agentic AI and Prompt Engineering into existing systems to improve efficiency and functionality.
  • Provide expertise in Natural Language Processing (NLP) to develop advanced language models and applications.
  • Collaborate with cross-functional teams to leverage LLMs - Open Sources for innovative solutions and improvements.
  • Utilize Langchain to streamline processes and optimize system performance.
  • Ensure the delivery of high-quality software solutions that meet client requirements and industry standards.
  • Conduct thorough testing and debugging of applications to ensure reliability and performance.
  • Mentor and guide junior team members to foster a collaborative and productive work environment.
  • Analyze project requirements and design scalable and efficient software architectures.
  • Contribute to the continuous improvement of development processes and methodologies.
  • Communicate effectively with stakeholders to understand project goals and deliverables.
  • Drive the adoption of best practices in software development and project management.
 
Qualifications:
  • Possess strong knowledge of Agentic AI and its applications in software development.
  • Exhibit expertise in Prompt Engineering and its integration into complex systems
  • Have a solid understanding of NLP techniques and their practical implementations.
  • Show experience with LLMs - Open Sources and their utilization in innovative projects.
  • Display familiarity with Langchain and its role in optimizing workflows.
  • Hold a degree in Computer Science, Engineering, or a related field.