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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 ...

Lead Research Engineer

Eagan, MN ยท 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 ยท 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 ...

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 ยท 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 ...

AI Lead

Minneapolis, MN ยท On-site

... 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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Freelance Natural Language Processing information

What are some common challenges freelance Natural Language Processing (NLP) professionals face when working with clients on projects?

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 (NLP) 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 are the key skills and qualifications needed to thrive as a Freelance Natural Language Processing (NLP) Specialist, and why are they important?

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.
Lead Data Engineer

Lead Data Engineer

Ztek Consulting INC

Minneapolis, MN โ€ข On-site

Contractor

Re-posted 8 days ago


Job description

This is a hands-on delivery lead role specialized in data engineering
Strong communication skill to work with senior executives
20-25 years of experience in Information Technology services across industries
-8-10 years of experience in designing Application Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, 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 of experience in designing data conformation from disparate data sources for data analytics
3 years of experience in Cloud platform (AWS)
Nice to have skills:
Continues from req. skills:
Informatica Intelligent Cloud Services - ETL Processes to handle high volume data for PowerBI
Nice to have skills:
PowerBI hands-on experience