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Internship Natural Language Processing 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 +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 ...

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 ...

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs ...

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs ...

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs ...

... Natural Language Processing (NLP) and deep learning techniques for building AI models. o Experience with large language models (LLMs) such as GPT, BERT, and OpenAI's fine-tuned models. o Knowledge of ...

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Internship Natural Language Processing information

What types of projects can I expect to work on during a Natural Language Processing (NLP) internship?

As an NLP intern, you can expect to work on projects such as building and evaluating language models, developing text classification or sentiment analysis tools, or improving chatbots and search engines. You may also handle tasks like data preprocessing, annotation, and experimenting with state-of-the-art algorithms under the guidance of experienced researchers or engineers. Interns often collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver solutions that address real-world language challenges. This hands-on experience not only builds your technical skills but also provides insight into how NLP is applied in an industry setting.

What are the key skills and qualifications needed to thrive as an Internship Natural Language Processing, and why are they important?

To thrive in a Natural Language Processing (NLP) internship, you generally need a solid background in computer science, mathematics, and linguistics, often supported by coursework or experience in machine learning and programming languages such as Python. Familiarity with NLP frameworks (like NLTK, spaCy, or Hugging Face), version control systems, and tools such as TensorFlow or PyTorch is typically expected. Strong analytical thinking, curiosity, and effective communication help interns stand out when tackling complex language challenges and collaborating with cross-functional teams. These skills are crucial for contributing to innovative NLP projects, understanding nuanced language data, and successfully adapting to evolving technical requirements.

What is the difference between Internship Natural Language Processing vs Data Analyst Intern?

AspectInternship Natural Language ProcessingData Analyst Intern
Required SkillsProgramming (Python), NLP libraries, basic ML conceptsExcel, SQL, data visualization tools
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, marketing sectors
Industry UsageAI, machine learning, NLP projectsData analysis, reporting, business insights
Common Search IntentLearning NLP, AI internshipsData analysis internships, business intelligence

Internship Natural Language Processing focuses on developing skills in NLP techniques, machine learning, and programming, often within tech or research environments. In contrast, Data Analyst Internships emphasize data manipulation, visualization, and reporting skills for business insights. Both roles require analytical skills but differ in technical focus and industry application.

What is an Internship in Natural Language Processing?

An Internship in Natural Language Processing (NLP) is a temporary position, often for students or recent graduates, where you gain hands-on experience working with technologies that enable computers to understand and generate human language. Interns in NLP typically assist with data collection, text analysis, model development, and research projects using machine learning and linguistic techniques. These internships help build foundational skills in programming, data science, and AI, and often require familiarity with languages like Python and libraries such as NLTK or spaCy. Through mentorship and real-world projects, interns learn about the latest advancements in NLP and build a portfolio that prepares them for future roles in AI and computational linguistics.
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 cities in Minnesota are hiring for Internship Natural Language Processing jobs? Cities in Minnesota with the most Internship Natural Language Processing job openings:
Health AI Scientist (Researcher 5)

Health AI Scientist (Researcher 5)

University of Minnesota

Minneapolis, MN

$49K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 9 days ago


Job description

About the Job
 

Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota is seeking one research scientist to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.
About the Program
Division of Health Data Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health Informatics is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks. 
Duties/Responsibilities:
Regularly conduct computational experiments to execute AI algorithms on various health and biomedical projects 
Assist with new project development including literature review, study design and experiment conduction.
Work under general supervision but usually is given the latitude to make decision on projects that s/he is accountable for delivering on; decisions may involve an approach from among alternatives, determining how to best use available resources
Design and/or implement AI methods, summarize findings, and generate study results for research topics
Write, edit or critique technical reports and/or publications describing research results to sponsors or funders of the research, 
Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (spoken presentations, poster or written work summaries for display, panels, and other formats). 
 

Qualifications
 

Required Qualifications:
A Ph.D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field.
Strong programming skills in Python, Java, etc.
Expertise in machine learning, neural networks, and deep learning 
Excellent writing and communication skills 
Highly motivated, ability to identify potential problems and develop solutions.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Preferred Qualifications:
Research experience in natural language processing especially larger language models on biomedical and/or clinical texts, graph neural networks, predictive modeling on longitudinal data.
Expertise in deep learning, reinforcement learning, transfer learning,  
Experience working with multimodal biomedical data
Experience with leading projects within a research team
Working knowledge of modern web service and/or software implementation
Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise 
Strong experience with peer-reviewed publications

About the Department
 

To learn more about the Department of Surgery, please visit: https://med.umn.edu/surgery

Pay and Benefits
 

Pay Range: $49,145.94 minimum; depending on education/qualifications/experience

Time Appointment: 75%-100% Appointment 

Position Type: Faculty and P&A Staff 

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services 
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647).

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).