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Natural Language Processing Jobs in Chicago, IL (NOW HIRING)

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Develop and implement natural language processing algorithms and models for textual data * Present methods, results, and conclusions to the analytics team, leadership, technical leaders, managers ...

Vizient

Senior Data Scientist

Chicago, IL · On-site

$102K - $179K/yr

You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality ...

New

Vkore Solutions

GenAI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Architect end-to-end AI solutions that leverage machine learning, natural language processing, computer vision, and other AI technologies to solve complex business problems. * Work closely with ...

Vizient

Lead Data Scientist

Chicago, IL · On-site

Lead the design, development, and implementation of advanced machine learning, generative AI, agentic AI, natural language processing, statistical modeling, and unsupervised learning solutions across ...

Vizient, Inc

Lead Data Scientist

Chicago, IL · On-site

$118 - $206/hr

Lead the design, development, and implementation of advanced machine learning, generative AI, agentic AI, natural language processing, statistical modeling, and unsupervised learning solutions across ...

Vizient

Senior Data Scientist

Chicago, IL

$102K - $179K/yr

Apply machine learning, natural language processing, statistical modeling, and predictive analytics techniques to structured and unstructured data. * Evaluate technical and business feasibility ...

New

Pwc

AI Engineer

Rosemont, IL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Pwc

AI Engineer

Chicago, IL

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

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All JobsNatural Language Processing JobsNatural Language Processing Jobs in Chicago, IL

Natural Language Processing information

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$14

$26

$49

How much do natural language processing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for natural language processing in Chicago, IL is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $30.48 per hour, depending on experience, location, and employer.

What is a natural language processing?

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.

What are the key skills and qualifications needed to thrive in natural language processing, 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?

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.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

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 linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

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 like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Chicago, IL?

The most popular types of Natural Language Processing jobs in Chicago, IL are:

What are popular job titles related to Natural Language Processing jobs in Chicago, IL?

For Natural Language Processing jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Chicago, IL look for?

The top searched job categories for Natural Language Processing jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Natural Language Processing jobs?

Cities near Chicago, IL with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $54,584 per year, or $26.2 per hour.

Data Scientist

Jobtailor

Chicago, IL • On-site

$120 - $160/hr

Other

Posted 4 days ago

Job description

  • Act as a technical individual contributor on a small multi-person analytics team
  • Collaborate with Cat Digital and Global Service business teams to maximize value from digital products and services
  • Perform data cleaning, analysis, quantitative analytics, and modeling
  • Apply machine learning, statistical modeling, and causal inference to generate insights and measurable business value
  • Conduct exploratory data analysis, data mining, and data preparation across complex datasets
  • Develop, deploy, and productionize predictive and prescriptive analytics solutions and machine learning models
  • Develop and implement natural language processing algorithms and models for textual data
  • Present methods, results, and conclusions to the analytics team, leadership, technical leaders, managers, and business partners
  • Develop APIs to integrate with digital applications and extract and process data
  • Work independently on assigned project tasks while collaborating on larger challenges in an Agile environment
Requirements
  • Bachelor's degree with 5+ years of proven technical data science experience OR Master's degree with 3+ years of proven technical data science experience
  • Degree preferably in statistics, applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework
  • Proven experience using Python for data analysis and modeling, including Jupyter Notebooks and common libraries and packages
  • Experience with version control systems such as Git
  • Experience with database technologies such as SQL and NoSQL
  • Ability to process large quantities of detailed information with high accuracy
  • Practical experience with cloud computing and software development in cloud environments such as AWS and Snowflake
  • Practical experience developing, deploying, and productionizing predictive and/or prescriptive analytics solutions and machine learning models
  • Experience with advanced data analysis and machine learning and statistical techniques, including classification, regression, clustering, collaborative filtering, and hypothesis testing
  • Experience developing and implementing natural language processing (NLP) algorithms and models using advanced text mining techniques
  • Strong technical and problem-solving skills with continual learning and initiative
  • Strong communication skills and ability to explain conclusions to technical leaders, managers, and business partners
  • Experience operating in an Agile environment with ownership and initiative
  • Experience with API development
  • Ability to work independently with strong attention to detail
  • Demonstrated interest in experimenting with or applying emerging AI and GenAI techniques
  • Visa sponsorship is not available for this position
  • Any offer of employment is conditioned upon successful completion of a drug screen
Core Competencies

Demonstrates expertise in data science with a strong focus on machine learning, statistical modeling, and natural language processing. Proficient in developing and deploying predictive analytics solutions while effectively communicating insights to stakeholders.

Highest-signal resume keywords
  • Python Programming
  • Machine Learning
  • Natural Language Processing
  • Data Analysis
  • API Development
ATS Optimization KeywordsHard Skills
  • Data Cleaning
  • Quantitative Analytics
  • Statistical Modeling
  • Exploratory Data Analysis
  • Predictive Analytics
  • Prescriptive Analytics
  • Data Mining
  • Cloud Computing
  • Version Control (Git)
  • Database Technologies (SQL, NoSQL)
Soft Skills
  • Strong Communication Skills
  • Problem-Solving Skills
  • Attention to Detail
  • Initiative
  • Collaboration
Industry Keywords
  • Data Science
  • Analytics
  • Machine Learning Techniques
  • Text Mining
  • AI and GenAI Techniques
Tools & Technologies
  • Jupyter Notebooks
  • AWS
  • Snowflake
  • Agile Methodology
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