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Internship Natural Language Processing Engineer Jobs in Chicago, IL

Pwc

AI Engineer

Rosemont, IL · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Pwc

AI Engineer

Chicago, IL

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

DRW

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Proficient programming skills with experience exploring large datasets * Strong analytical and ... Natural Language Processing or High-Performance Computing What to expect during the internship

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Internship Natural Language Processing Engineer information

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How much do internship natural language processing engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for internship natural language processing engineer in Chicago, IL is $22.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.73 per hour, depending on experience, location, and employer.

What is the difference between Internship Natural Language Processing Engineer vs Data Scientist Intern?

AspectInternship Natural Language Processing EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of NLPStatistics, programming, data analysis knowledge
Work EnvironmentTech companies, research labs, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI and NLP-focused roles in tech industryData analysis across various industries

Internship Natural Language Processing Engineer roles focus on developing NLP models and algorithms, requiring knowledge of linguistics and machine learning. Data Scientist Intern positions involve analyzing large datasets to extract insights, often requiring statistical and programming skills. Both internships are common in tech companies but serve different functions within data and AI teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Chicago, IL? The most popular types of Natural Language Processing Engineer jobs in Chicago, IL are:
What are popular job titles related to Internship Natural Language Processing Engineer jobs in Chicago, IL? For Internship Natural Language Processing Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Internship Natural Language Processing Engineer jobs in Chicago, IL look for? The top searched job categories for Internship Natural Language Processing Engineer jobs in Chicago, IL are:
Internship Natural Language Processing Engineer jobs near you

GenAI Business Analyst

Conch Technologies Inc

Chicago, IL • On-site

Contractor

Posted 22 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