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Natural Language Processing Intern Jobs in Arizona

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.

Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains. Experience in prompt engineering, data preprocessing, model fine-tuning, and ...

AI ML Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Experience with Natural Language Processing NLP * Familiarity with geospatial data and mapping tools * Knowledge of Monte Carlo simulations and stochastic modeling * Experience with Git and CICD ...

In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. * Experience with popular conversational AI platforms and frameworks such as Dialogflow ...

NLP experience (Natural Language Processing). * Regex for data parsing and cleanup. * Strong fundamentals in data transformation and structuring. ITSM Knowledge * Experience working with ServiceNow ...

Architect

Phoenix, AZ

$63 - $83/hr

... natural language processing, computer vision, or reinforcement learning. • Experience in working with large and complex data sets, and using cloud platforms, such as AWS, Azure, or Google Cloud ...

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Natural Language Processing Intern information

See Arizona salary details

$8

$16

$22

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

As of May 31, 2026, the average hourly pay for natural language processing intern in Arizona is $16.13, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.93 per hour, depending on experience, location, and employer.

What is a Natural Language Processing Intern job?

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 in the Natural Language Processing Intern position, 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 types of projects or tasks do Natural Language Processing Interns 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.

Is ChatGPT an NLP?

ChatGPT is an AI language model developed using natural language processing (NLP) techniques, which enable it to understand and generate human-like text. As a tool often used in NLP applications, it demonstrates the practical use of NLP skills that a Natural Language Processing Intern might work with. Understanding NLP concepts is essential for roles involving language models like ChatGPT.
What are the most commonly searched types of Natural Language Processing jobs in Arizona? The most popular types of Natural Language Processing jobs in Arizona are:
What are popular job titles related to Natural Language Processing Intern jobs in Arizona? For Natural Language Processing Intern jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Natural Language Processing Intern jobs? Cities in Arizona with the most Natural Language Processing Intern job openings:
Infographic showing various Natural Language Processing Intern job openings in Arizona as of May 2026, with employment types broken down into 22% Internship, 50% Full Time, 22% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $33,543 per year, or $16.1 per hour.
Data Scientist Intern - In Office, Scottsdale, AZ only

Data Scientist Intern - In Office, Scottsdale, AZ only

Sandhills Global, Inc.

Scottsdale, AZ • On-site

Internship

Posted 6 days ago


Sandhills Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 17 rated publishing


Job description

Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.