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Freelance 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 ...

Solutions Architect

Virginia, MN · On-site

$160 - $180/hr

Designing the infrastructure for natural language processing (NLP) and machine learning components * Developing architectural approaches for data quality management and lineage tracking * Creating ...

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 ...

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 ...

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

New

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 ...

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 ...

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Freelance Natural Language Processing information

What are common challenges freelance natural language processing professionals face when working with clients?

Freelance NLP professionals often encounter challenges such as clearly defining project goals, managing client expectations regarding data quality and model performance, and ensuring access to adequate datasets. Since projects can range from text classification to chatbot development, freelancers must communicate technical constraints and timelines effectively with non-technical stakeholders. Balancing multiple projects and staying updated with evolving NLP technologies are also key aspects of the role, requiring strong time management and continuous learning.

What is a freelance natural language processing specialist?

A Freelance Natural Language Processing (NLP) specialist is an independent professional who works on projects involving the interaction between computers and human language. They use techniques from linguistics, computer science, and artificial intelligence to develop systems that can understand, interpret, and generate human language. Freelance NLP specialists typically work on tasks such as text analysis, machine translation, chatbots, sentiment analysis, and speech recognition for various clients or organizations. Their work often involves using programming languages like Python and tools such as TensorFlow or spaCy.

What skills and qualifications are needed to thrive as a freelance natural language processing specialist?

To thrive as a Freelance Natural Language Processing Specialist, you need a solid background in computational linguistics, machine learning, and programming (Python is essential), typically supported by a relevant degree or demonstrated project experience. Proficiency with NLP libraries and frameworks like NLTK, spaCy, TensorFlow, and familiarity with tools such as Jupyter Notebook or cloud platforms is highly valued. Strong problem-solving, communication, and self-management skills help freelancers stand out by enabling effective client collaboration and project delivery. These competencies are crucial for producing accurate, efficient NLP solutions and maintaining a successful freelance business.

What is the difference between Freelance Natural Language Processing vs Data Scientist?

AspectFreelance Natural Language ProcessingData Scientist
CredentialsTypically requires expertise in NLP, programming, and data analysis; certifications are optionalOften requires degrees in data science, statistics, or related fields; certifications can be beneficial
Work EnvironmentIndependent, project-based, remote or freelance settingsFull-time or contract roles within organizations, often in office or remote
Industry UsageUsed across tech, healthcare, finance, and research sectors for language-related projectsApplied broadly in tech, finance, healthcare, and consulting for data-driven decision making

Freelance Natural Language Processing specialists focus on language-specific projects independently, while Data Scientists work on broader data analysis tasks within organizations. Both roles require strong analytical skills, but their work environments and project scopes differ significantly.

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 Freelance Natural Language Processing jobs in Minnesota? For Freelance Natural Language Processing jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Freelance Natural Language Processing jobs in Minnesota look for? The top searched job categories for Freelance Natural Language Processing jobs in Minnesota are:
What cities in Minnesota are hiring for Freelance Natural Language Processing jobs? Cities in Minnesota with the most Freelance Natural Language Processing job openings:
Infographic showing various Freelance Natural Language Processing job openings in Minnesota as of July 2026, with employment types broken down into 50% Internship, and 50% Contract. Highlights an 100% In-person job distribution.

Health AI Scientist (Researcher 5)

University of Minnesota

Minneapolis, MN

$49K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted 25 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).