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Natural Language Processing Intern Jobs in Minnesota

... Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years ...

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...

Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Ability ...

AI/ML Engineer - Remote

Rochester, MN · Remote

$85 - $90/hr

Leverage machine learning techniques such as deep learning, natural language processing, computer vision, and large language models to design, develop and deploy end-to-end AI solutions * Participate ...

Leverage machine learning techniques such as deep learning, natural language processing, computer vision, and large language models to design, develop and deploy end-to-end AI solutions * Participate ...

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Natural Language Processing Intern information

See Minnesota salary details

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

As of Jun 9, 2026, the average hourly pay for natural language processing intern in Minnesota is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $18.85 per hour, depending on experience, location, and employer.

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.

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.

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 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 are the most commonly searched types of Natural Language Processing jobs in Minnesota? The most popular types of Natural Language Processing jobs in Minnesota are:
What are popular job titles related to Natural Language Processing Intern jobs in Minnesota? For Natural Language Processing Intern jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Intern jobs in Minnesota look for? The top searched job categories for Natural Language Processing Intern jobs in Minnesota are:
Infographic showing various Natural Language Processing Intern job openings in Minnesota as of June 2026, with employment types broken down into 75% Full Time, 20% Part Time, 2% Temporary, 1% Contract, and 2% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,254 per year, or $16.9 per hour.
University of Minnesota-Twin Cities -- Software Engineer Intern 2026

University of Minnesota-Twin Cities -- Software Engineer Intern 2026

Maverick Software

Minneapolis, MN

Part-time

Posted 25 days ago


Job description


Join Maverick Software Consulting - Real Industry Experience While You Study!


Are you a student at theUniversity of Minnesota, Twin Cities with a passion for software development?


Maverick Software Consulting is hiringmotivated and talented students to work directly with our industry-leading clients - all while continuing your coursework.


What You'll Do: Help build and test real-world software using technologies like:

  • Java Software Development - Java, Spring Boot, Quarkus, IntelliJ IDEA, Eclipse, and related frameworks.
  • Microsoft Software Development - .NET Core, C#, Visual Studio, and cloud-based .NET solutions.
  • Web Development - HTML, CSS, JavaScript, TypeScript, React, Angular, Vue.js, and cloud-based hosting on AWS, Azure, or Google Cloud.
  • Cloud Development - AWS, Azure, Google Cloud, serverless architectures, containerization (Docker, Kubernetes), and DevOps pipelines.
  • AI & Machine Learning - TensorFlow, PyTorch, OpenAI APIs, Azure AI, AWS SageMaker, natural language processing (NLP), and computer vision applications.
  • Automated Software Testing - Selenium, Playwright, Cypress, JUnit, NUnit, Apache JMeter, AI-driven testing frameworks, and CI/CD automation.

You will be part of a software development team helping our clients develop and test their software. We'll provide training, let you set your own flexible schedule, and give you hands-on experience that employers value.


We provide training to bridge the gap between academic learning and the practical skills needed for an entry-level software engineer. You'll gain real-world experience in software development and testing-not just 'busy' work-as an integral part of our clients' teams.


See what some of our students have to say: https://www.mavericksoftware.com/students

Qualifications:

  • Current Sophomore, Junior, or Senior with at least 13 months remaining before graduation.
  • Pursuing a Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
  • Availability: 20 hours per week during the school year, 40 hours per week over the summer.
  • Self-motivated, eager to learn, and enthusiastic about applying technical skills in real-world projects.