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Natural Language Processing Jobs in Texas (NOW HIRING)

AceStack LLC

IVR/Chat Developer (Amelia)

Plano, TX · On-site

$115K - $150K/yr

Strong background in Natural Language Processing, intent recognition, and entity extraction. • Integration Skills: Experience connecting bots to backend systems via APIs (REST, SOAP, XML)

Apple

Data Scientist

Austin, TX · On-site

Develop, validate, and deploy production-level machine learning models, including regression, classification, clustering, time-series forecasting, and Natural Language Processing (NLP), to identify ...

Apple

Data Scientist

Austin, TX

Develop, validate, and deploy production-level machine learning models, including regression, classification, clustering, time-series forecasting, and Natural Language Processing (NLP), to identify ...

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 ...

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$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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Natural Language Processing jobs near you
Principal AI/ML Ops Platform Engineer

Principal AI/ML Ops Platform Engineer

Southern Glazer's Wine and Spirits

Dallas, TX

Other

Posted 4 days ago

Southern Glazer's Wine & Spirits rating

7.5

Company rating: 7.5 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

153rd of 351 rated retail wholesalers

Job description

Overview

Employer:    Southern Glazer's Wine and Spirits LLC
Job Title:      Principal AI/ML Operations Platform Engineer 
Locations:    2300 SW 145th Avenue, Miramar, FL 33027 
                    14911 Quorum Drive, Dallas, TX 75254 

Duties
  • Design, build, and deploy machine learning (ML) models to derive actionable insights and solve complex problems.
  • Work in the full lifecycle of ML model development from data preparation and feature engineering to model training, evaluation, and deployment.
  • Apply a variety of ML algorithms, techniques, and frameworks to solve complex business challenges.
  • Assemble modules into end-to-end systems, ensuring seamless integration and functionality.
  • Collaborate closely with Data Scientists to facilitate highly productive experimentation, model construction, and validation, fostering a sense of teamwork and shared success.
  • Apply programming skills in Python with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
  • Contribute to the continuous improvement of ML systems by staying abreast of advancements in software engineering and ML.
  • May telecommute but must reside near Miramar, Florida headquarters or Dallas, Texas office.
  • Requires up to 10% domestic travel.
Requirements
  • Master's degree (or foreign equivalent) in computer science or related field; plus 5 years of experience in job offered or software development operations and data engineering.
  • Bachelor's degree plus 7 years of experience also acceptable.
  • Knowledge of programming languages (Python, R, or SQL), Terraform, Kubernetes, Unix, CI/CD tools, and AWS or Azure cloud ecosystems.
  • Experience with cloud operations, DevSecOps, and deploying ML models into production environments.
Apply

Apply: https://jobs.southernglazers.com/.

EEO Statement

Southern Glazer's Wine and Spirits, an Affirmative Action/EEO employer, prohibits discrimination and harassment of any type and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. SGWS complies with all federal, state and local laws concerning consideration of a qualified applicant's arrest and/or criminal conviction records. Southern Glazer's Wine and Spirits provides competitive compensation based on estimated performance level consistent with the past relevant experience, knowledge, skills, abilities and education of employees. Unless otherwise expressly stated, any pay ranges posted here are estimates from outside of Southern Glazer's Wine and Spirits and do not reflect Southern Glazer's pay bands or ranges.

If you have any questions or concerns about whether this posting complies/adheres with local pay transparency requirements, please contact the SGWS talent acquisition team at NationalTA@sgws.com

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