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

Senior Data Scientist

Chicago, IL Β· On-site

$102K - $179K/yr

You will apply statistical methods, machine learning, natural language processing, and large language models while partnering across product, technology, clinical, engineering, and business teams to ...

Senior Data Scientist

Chicago, IL Β· On-site

$102K - $179K/yr

You will apply statistical methods, machine learning, natural language processing, and large language models while partnering across product, technology, clinical, engineering, and business teams to ...

Senior Data Scientist

Chicago, IL Β· On-site

$102K - $179K/yr

You will apply statistical methods, machine learning, natural language processing, and large language models while partnering across product, technology, clinical, engineering, and business teams to ...

Senior Data Scientist

Chicago, IL Β· 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 ...

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 ...

GenAI Architect

Chicago, IL Β· 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 ...

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

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

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

Head of AI Product

Chicago, IL Β· Hybrid

$240K - $251K/yr

Applied experience delivering natural language processing, semantic search or large language model-based products in a production environment; not solely in research or proof-of-concept settings

Research Associate

Evanston, IL Β· On-site

$80K/yr

Experience in data mining, natural language processing analysis, and working with geographic data is preferred. This will be an in-person, full-time position based at Northwestern University ...

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

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

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Natural Language Processing information

See Chicago, IL salary details

$14

$26

$49

How much do natural language processing jobs pay per hour?

As of Sep 14, 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 cities near Chicago, IL are hiring for Natural Language Processing jobs?

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

Infographic showing various Natural Language Processing job openings in Chicago, IL as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $54,584 per year, or $26.2 per hour.

GenAI Business Analyst

Chicago, IL β€’ On-site

Conch Technologies Inc
IT ServicesΒ β€’Β 51 - 200 employees

Contractor

Re-posted 7 days ago


Job description

Hi,
Greetings from Conch Technologies
Position: GenAI Business Analyst
Location: 1-2x week onsite – Downtown Chicago, IL
Duration: 12+ Months
 

Required Qualifications

  • 3+ years of Business Analyst experience supporting customer-facing technology solutions.
  • Experience working with IVR, Conversational AI, chatbot, voicebot, contact center, or customer experience platforms.
  • Strong requirements gathering, documentation, and stakeholder management skills.
  • Experience creating user stories, process flows, journey maps, and functional specifications.
  • Understanding of customer experience (CX) principles and self-service technologies.
  • Experience working within Agile/Scrum environments.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience supporting Conversational AI platforms such as Amazon Lex, Dialogflow, NLX, IBM Watson Assistant, Microsoft Bot Framework, Rasa, or similar technologies.
  • Exposure to Generative AI, Large Language Models (LLMs), AI Assistants, and intelligent automation initiatives.
  • Familiarity with Natural Language Processing (NLP) concepts, including intent recognition, entity extraction, sentiment analysis, and conversational design.
  • Experience supporting contact center technologies, IVR modernization, or customer service transformation programs.
  • Exposure to AWS, Azure, or Google Cloud environments.
  • Basic understanding of chatbot analytics, conversational performance metrics, and AI model evaluation.

Technical Environment

  • Conversational AI Platforms
  • IVR Technologies
  • Generative AI / LLM Solutions
  • Customer Experience (CX) Platforms
  • Natural Language Processing (NLP)
  • Jira / Confluence
  • Agile / Scrum Methodologies
  • AWS, Azure, or Google Cloud Environments
 
 

Thanks & Regards,

Ash | Ash@Conchtech.com

+1 901 444 3152