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Natural Language Processing Jobs in Texas (NOW HIRING)

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 ...

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 ...

Omega Solutions Inc

Chatbot Developer with Azure

Dallas, TX · On-site

$54.75 - $67.75/hr

Contract to hire (6+ months contract) Essential Skills • Strong experience in chatbots and natural language processing (NLP). • Good understanding of training classical Machine learning ...

JPMorganChase

WFP Senior Data Scientist

Plano, TX · On-site

Preferred : • Advanced expertise with Time Series and Operations Research techniques. • Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills. • ...

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 ...

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.

THOMSON REUTERS

Research Engineer

Frisco, TX · Hybrid

Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Ability ...

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 ...

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 ...

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 ...

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Natural Language Processing information

See Texas salary details

$13

$23

$45

How much do natural language processing jobs pay per hour?

As of Jul 3, 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

Sr. Data Scientist

Sarian, Inc.

Irving, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role: Data Scientist
Location: Irving, TX - Fulltime Position
Data Scientist with Generative AI Expertise
  • Programming languages: Python (proficient) with major ML libraries
  • Experience with opensource Gen AI LLMs e.g., Llama and Dolly
  • Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
  • Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
  • Data wrangling & manipulation: SQL, data cleaning, feature engineering
  • Hyperscale's: AWS, Azure, or GCP experience a plus
  • On prem and cloud development projects with CI/CD Experience
  • Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
  • Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
  • Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
  • 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 architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development

Muralikrishna
Sarian Solutions, Inc.
Ph: +1 732-790-2266 X 201
murali.k@sariansolutions.com | https://www.sarianinc.com/

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