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Natural Language Processing Intern Jobs in Minnesota

Refinitiv

Research Engineer

Eagan, MN · On-site

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.

Thomson Reuters

Research Engineer

Eagan, MN · On-site

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.

Nexwave

Sr. Data Scientist

Minnetonka, MN · On-site

$70/hr

Experience with advanced modeling approaches such as ensemble methods, deep learning, graph analytics, natural language processing, embeddings, or large language models. * Experience with CI/CD ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN · On-site

$14.75 - $19/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... such as natural language, images, genetics, or signal processing (e.g. EKG) is preferred.

Xcel Energy

Grid Data Intern - MN

Minneapolis, MN · On-site

$22.10 - $27.90/hr

... data processes. Intern support would result in more reliable documentation, higher-quality data ... Coursework: geoprocessing, database, cartography As a leading combination electricity and natural ...

Xcel Energy

Grid Data Intern - MN

Minneapolis, MN

$22.10 - $27.90/hr

... data processes. Intern support would result in more reliable documentation, higher-quality data ... Coursework: geoprocessing, database, cartography As a leading combination electricity and natural ...

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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 13, 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 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 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:

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

Cities in Minnesota 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 Minnesota as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. 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.

AI and Data Science Strategy Leader - Crimson AI - Remote

Eden Prairie, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees
Learn more about UnitedHealth Groupexternal

Full-time

Retirement

Re-posted 15 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
As the AI and Data Science Strategy Leader within the Crimson AI team, you will be at the forefront of healthcare innovation. Our team is dedicated to designing, developing, and deploying cutting-edge AI and machine learning capabilities that transform how healthcare is delivered and experienced via the Crimson AI clinical business intelligence platform. In this role, you will lead the creation of industry-leading AI solutions, utilizing advanced technologies such as Large Language Models (LLMs), Natural Language Processing (NLP), and agentic AI systems. You will collaborate with product and engineering teams to turn complex data into actionable insights, driving segment-wide and enterprise-wide impact. If you are passionate about pushing the boundaries of AI to improve lives and advance health equity on a global scale, we invite you to join us in our mission.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Act as a subject matter expert (SME) in advanced data science, artificial intelligence, and machine learning, driving innovation and practice excellence across the enterprise
  • Lead the design, development, and deployment of complex AI-powered and machine learning solutions that address critical healthcare challenges and transform industry practices within the Crimson AI suite
  • Drive AI and data science strategy by evaluating emerging technologies, monitoring market trends, and partnering with Product leadership to define and execute the Crimson AI roadmap
  • Serve as a trusted technical leader with customers, partners, and industry stakeholders, representing Crimson AI and translating complex AI capabilities into business value
  • Manage a global team of data science and methodologists to successful delivery of new capabilities supporting product and engineering teams across the development life cycle
  • Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle, with a solid emphasis on the responsible use of AI
  • Manage holistic data strategy and vendor contracts for Crimson AI, including identifying and onboarding additional partners
  • Identify and solve highly complex problems that impact the management and direction of the business, having a segment-wide and/or enterprise-wide impact

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 10+ years of professional experience in data science, machine learning, and advanced analytics, with a proven track record of designing, developing, and deploying complex, production-ready models
  • 5+ years of experience leading complex, large-scale data science projects from research to production-ready capabilities
  • 5+ years of experience utilizing programming languages like Python or R, and deep learning frameworks (such as PyTorch, TensorFlow, or Scikit-learn)
  • 5+ years of team management experience leading a tenured team in a matrixed organization
  • 3+ years of experience in deploying and monitoring AI/ML solutions in cloud-based environments (e.g., Azure, AWS, GCP)
  • 3+ years of experience presenting complex analytical concepts and AI/ML solutions to senior leadership and influencing business decisions
  • Experience in the healthcare industry, particularly working with clinical, claims, or healthcare operational data

Preferred Qualifications:
  • Experience in the healthcare industry, particularly working with clinical, claims, or healthcare operational data
  • Experience collaborating with cross-functional teams, including product management, software engineering, and business strategy, to integrate models into software products
  • Demonstrated experience building and promoting responsible AI frameworks, ensuring model fairness, transparency, and ethical compliance
  • Expert-level understanding of advanced AI concepts, including Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision, or Agentic AI systems
  • Active contributor to the broader AI community (e.g., publications, open-source contributions, or patents)

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 - $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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