ZipRecruiter

Log In

1

Natural Language Processing Intern Jobs in Texas

PB consulting

Generative AI Engineer

Irving, TX · On-site

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Grapevine, TX

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Euless, TX

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Colleyville, TX

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Dallas, TX

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Southlake, TX

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

Forhyre

Prompt Engineers

Dallas, TX

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Forhyre

Prompt Engineers

Plano, TX

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Pyramid Consulting, Inc

Analyst

Irving, TX · On-site

... Natural Language Processing (NLP - Seal) and others. • Flexible collaboration, complex solution/commitment development and central contact point of multiple internal and external and different ...

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 ...

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 ...

Purple Drive

Angular Developer

Irving, TX

$52.50 - $64.25/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 ...

previous page

Showing results 41-60

All JobsNatural Language Processing Intern JobsNatural Language Processing Intern Jobs in Texas

Natural Language Processing Intern information

See Texas salary details

$8

$16

$22

How much do natural language processing intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for natural language processing intern in Texas is $16.12, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.93 per hour, depending on experience, location, and employer.

What types of projects or tasks does a natural language processing intern typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

What is a natural language processing intern?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

What are the key skills and qualifications needed to thrive as a natural language processing intern, and why are they important?

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

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 Intern jobs in Texas?

For Natural Language Processing Intern jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing Intern jobs in Texas look for?

The top searched job categories for Natural Language Processing Intern jobs in Texas are:

What cities in Texas are hiring for Natural Language Processing Intern jobs?

Cities in Texas with the most Natural Language Processing Intern job openings:

Natural Language Processing Intern jobs near you
Infographic showing various Natural Language Processing Intern job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $33,535 per year, or $16.1 per hour.

Generative AI Engineer

PB consulting

Irving, TX • On-site

Full-time

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

Job description

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.

Roles and Responsibilities

  • Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.

  • Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.

  • Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.

  • Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

  • Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.

  • Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.

  • Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.

  • Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.

  • Participate in model testing, deployment, monitoring, and continuous improvement.

  • Contribute to AI best practices, technical documentation, and knowledge sharing across teams.

Required Skills

  • Strong proficiency in Python with major machine learning and deep learning libraries.

  • Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.

  • Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.

  • Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).

  • Experience with data preprocessing, feature engineering, SQL, and data manipulation.

  • Familiarity with AI model evaluation, optimization, and hyperparameter tuning.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills

  • Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).

  • Experience developing AI applications in both on-premises and cloud environments.

  • Knowledge of CI/CD pipelines and AI application deployment practices.

  • Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

  • Experience designing, developing, and deploying enterprise AI or Generative AI solutions.

  • Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.

Apply