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Natural Language Processing Intern Jobs in Texas

Purple Drive

Angular Developer

Irving, TX · On-site

$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 ...

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 ...

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 ...

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 ...

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Natural Language Processing Intern information

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

As of Sep 5, 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 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 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 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.

Is natural language processing in demand?

Natural Language Processing (NLP) is a rapidly growing field with increasing demand for professionals, including NLP interns, as businesses seek to improve automation, customer service, and data analysis. Skills in machine learning, Python, and NLP tools like spaCy or NLTK enhance employability in this expanding industry.

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 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $33,535 per year, or $16.1 per hour.

Data Scientist (AI/ML)

Syntricate Technologies

Irving, TX • On-site

Full-time

Re-posted 7 hours ago

Key responsibilities

  • Design, develop, and implement advanced AI solutions to solve complex business problems.

  • Gather, clean, and prepare data for training and evaluating AI models, ensuring data quality and ethical considerations.

  • Collaborate with cross-functional teams to understand business needs and translate them into technical specifications for AI models.

Job description

Job Summary:
Syntricate Technologies is seeking a Data Scientist with expertise in AI and Machine Learning. The role involves designing and implementing advanced AI solutions, collaborating with cross-functional teams, and ensuring data quality for training AI models.
Responsibilities:
• 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.
• Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.
• Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations.
Qualifications:
Required:
• Data Scientist with Generative AI Expertise
• 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.
• Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.
• Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations.
• Programming languages: Python (proficient) with major Client 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.
• Hyperscalers: AWS, Azure, or GCP experience a plus.
• Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions.
• Communication & collaboration: Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams.
• Innovation & creativity.
• Attention to detail & accuracy.
• Self-motivation & continuous learning.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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