ZipRecruiter

Log In

1

Natural Language Processing Jobs in Texas (NOW HIRING)

Vizient

Lead Data Scientist

Irving, TX · On-site

Lead the design, development, and implementation of advanced machine learning, generative AI, agentic AI, natural language processing, statistical modeling, and unsupervised learning solutions across ...

Vizient, Inc.

Lead Data Scientist

Irving, TX · On-site

Lead the design, development, and implementation of advanced machine learning, generative AI, agentic AI, natural language processing, statistical modeling, and unsupervised learning solutions across ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$80K - $90K/yr

... natural language processing, and computer vision, tailored to specific needs 5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential ...

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 ...

AT&T

Sr Specialist Data Scientist

Plano, TX

$132K - $192K/yr

Apply knowledge in algorithm categories including Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep ...

New

Vizient

Senior Data Scientist

Irving, TX · On-site

$102K - $179K/yr

Apply machine learning, natural language processing, statistical modeling, and predictive analytics techniques to structured and unstructured data. * Evaluate technical and business feasibility ...

Apple

Software Engineer, Apple Ads

Austin, TX · On-site

$150K - $277K/yr

Apply techniques from algorithmic search, machine learning, natural language processing, and AI to advance candidate retrieval and ranking. Collaborate with multiple internal teams to support ...

Apple

Software Engineer, Apple Ads

Austin, TX · On-site

$150K - $277K/yr

Apply techniques from algorithmic search, machine learning, natural language processing, and AI to advance candidate retrieval and ranking. Collaborate with multiple internal teams to support ...

Vizient, Inc

Senior Data Scientist

Irving, TX · On-site

$102 - $179/hr

Apply machine learning, natural language processing, statistical modeling, and predictive analytics techniques to structured and unstructured data. * Evaluate technical and business feasibility ...

Vizient, Inc.

Senior Data Scientist

Irving, TX · On-site

$102K - $179K/yr

Apply machine learning, natural language processing, statistical modeling, and predictive analytics techniques to structured and unstructured data. * Evaluate technical and business feasibility ...

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

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 ...

previous page

Showing results 41-60

All JobsNatural Language Processing JobsNatural Language Processing Jobs in Texas

Natural Language Processing information

See Texas salary details

$13

$23

$45

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.

Data Scientist

Careers | Office of Inspector General

Frisco, TX • On-site

$50K/yr

Full-time

Re-posted 8 days ago

Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-07: Must have at least one year of specialized experience equivalent to GS-05 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) with close supervision or detailed instructions.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in preparing written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-09: Must have at least one year of specialized experience equivalent to GS-07 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts

    with

    open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) under supervision or with detailed guidance.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in the preparation of written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. Transcripts required.
GS-7 -1 year of graduate-level education or superior academic achievement
GS-9- 2 years of progressively higher level graduate education leading to a master's degree or master's or equivalent graduate degree
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Transcripts required.Employment Type: OTHER

Apply