1

Natural Language Processing Intern Jobs in Minnesota

Strong proficiency in Python and AI/ML frameworks, with deep understanding of natural language processing, prompt engineering techniques, and Information Retrieval systems (RAG) * Engineering ...

Senior Research Engineer

Eagan, MN · Hybrid

$106K - $146K/yr

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, Text classification ...

next page

Showing results 1-20

Natural Language Processing Intern information

See Minnesota salary details

$8

$16

$23

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

As of Jun 11, 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.

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.
Lead Software Engineer, AI

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

17th of 426 rated business services


Job description

Lead Software Engineer, AI
Are you ready to shape the future of AI-driven content technology while leading cutting-edge innovation in a mission-critical role? Do you thrive in environments where your technical expertise can directly impact how the world's leading professionals access and utilize information?
We are seeking a talented, self-driven and highly motivated Lead Software Engineer, AI to join the Public Records Publishing and Derived Authorities team. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of publishing processes, working at the forefront of our mission to become the world's #1 content-driven AI tech company. You will work closely with Product Management, Technology and our Labs teams to enable our customers to build successful AI-driven features and products to take their business to the next level. This is an exceptional opportunity to grow your Product Engineering career while working with cutting-edge LLM technologies and leading a dynamic team of engineers.
About the Role
In this opportunity as Lead Software Engineer, AI, you will:
  • Drive AI Innovation & Technical Vision: Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products, staying abreast of the latest advancements in AI/ML, deep learning, and LLM technologies
  • Lead AI/ML Model Development: Lead the development and deployment of AI models, including designing, developing, and optimizing scalable data pipelines for training, fine-tuning, and evaluating AI/ML models with focus on efficiency, scalability, and maintainability
  • Provide Technical Leadership: Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies while providing hands-on technical guidance, mentorship, and code reviews to foster a culture of excellence
  • Architect Advanced AI Systems: Design and implement sophisticated AI/ML systems including LLM architectures (Transformers, foundation models) for natural language understanding, generation, summarization, and question answering, along with Information Retrieval systems such as RAG
  • Collaborate on Product Development: Participate in project planning sessions to analyze requirements and collaborate with capability/product owners, translating technical requirements into application code and modules while ensuring consistency with cloud architectural principles
  • Drive Engineering Excellence: Approach development with a DevOps and continuous integration mindset, writing clean, well-tested, and maintainable code while developing RESTful APIs and microservices to expose AI/ML capabilities
  • Ensure Production Quality: Implement robust monitoring, logging, and alerting for AI/ML models in production, optimize model inference for speed and efficiency, and ensure responsible AI practices including bias detection, fairness, privacy, and explain ability.
About You
You're a fit for the role of Lead Software Engineer, AI if you have the following required qualifications:
  • 8+ years of software engineering experience with 5+ years focused on AI/ML development, including hands-on experience with LLM architectures, transformers, and foundation models
  • Technical Expertise: Strong proficiency in Python and AI/ML frameworks, with deep understanding of natural language processing, prompt engineering techniques, and Information Retrieval systems (RAG)
  • Engineering Excellence: Proven track record of designing and implementing scalable data pipelines, RESTful APIs, and microservices with experience in DevOps, continuous integration, and cloud architectural principles
  • Leadership & Mentorship: Demonstrated ability to lead technical teams, provide mentorship, conduct code reviews, and define best practices for software development and MLOps
  • Product Development Experience: Experience working in agile environments with cross-functional teams including product managers and applied scientists, translating business requirements into technical specifications
  • Production AI Systems: Hands-on experience deploying, monitoring, and maintaining AI/ML models in production environments with focus on performance optimization and responsible AI practices
  • Education: Bachelor's degree in Computer Science, Engineering, Machine Learning, or related field, or equivalent professional experience
Additional qualifications include:
  • Advanced degree (Master's/PhD) in AI, Machine Learning, Computer Science, or related field
  • Cloud platforms - AWS/Azure
  • Experience with specific AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers)
  • Knowledge of MLOps tools and practices for model deployment and monitoring
  • Experience in tax, trade, or legal domain applications
  • Publications or contributions to AI/ML research or open-source projects
#LI-SB1
New Position: This position is open due to an existing vacancy to support our evolving business needs.
What's in it For You?
  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD.For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD.Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com

What Thomson Reuters employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom