ZipRecruiter

Log In

1

Natural Language Processing Jobs in Wisconsin (NOW HIRING)

next page

Showing results 1-20

All JobsNatural Language Processing JobsNatural Language Processing Jobs in Wisconsin

Natural Language Processing information

See Wisconsin salary details

$14

$25

$48

How much do natural language processing jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for natural language processing in Wisconsin is $25.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $29.86 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is Natural Language Processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are the most commonly searched types of Natural Language Processing jobs in Wisconsin? The most popular types of Natural Language Processing jobs in Wisconsin are:
What are popular job titles related to Natural Language Processing jobs in Wisconsin? For Natural Language Processing jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Wisconsin look for? The top searched job categories for Natural Language Processing jobs in Wisconsin are:
Natural Language Processing jobs near you
AI & Machine Learning Developer

AI & Machine Learning Developer

Johnson Health Tech North America Inc

Cottage Grove, WI

Other

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

124th of 421 rated machine equipment manufacturers

Job description

Description


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

Research, design, and implement AI/ML solutions for mobile fitness applications.

Develop and fine-tune LLMs for natural language interactions and personalization.

Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

Collaborate with Android developers to integrate AI features into client-side applications.

Create prototypes and proof-of-concepts for new AI-driven features.

Stay current with emerging AI/ML technologies and best practices.

Ensure compliance with data privacy and security standards.

Requirements


Education:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.


Experience:

3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

Hands-on experience with AWS services for AI/ML deployment.

Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

Health & Dental Insurance

Company paid Life Insurance

401(k)

Paid Time Off benefits

Product discounts

Wellness programs



 Equal Opportunity Employer, including Veterans and Individuals with Disabilities 

What Johnson Health Tech employees say

Pay

Workplace

Get the full story on Breakroom

Apply