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Internship Natural Language Processing Jobs in Chicago, IL

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 ...

Posted today

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 ...

DRW

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship * Meaningful projects: Each ...

Accenture

Senior Data Scientist

Chicago, IL · On-site

Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.

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 ...

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

Internship Natural Language Processing information

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$24

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

As of Aug 17, 2026, the average hourly pay for internship natural language processing in Chicago, IL is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a natural language processing internship?

As an NLP intern, you can expect to work on projects such as building and evaluating language models, developing text classification or sentiment analysis tools, or improving chatbots and search engines. You may also handle tasks like data preprocessing, annotation, and experimenting with state-of-the-art algorithms under the guidance of experienced researchers or engineers. Interns often collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver solutions that address real-world language challenges. This hands-on experience not only builds your technical skills but also provides insight into how NLP is applied in an industry setting.

What are the key skills and qualifications needed to thrive as an internship in natural language processing?

To thrive in a Natural Language Processing (NLP) internship, you generally need a solid background in computer science, mathematics, and linguistics, often supported by coursework or experience in machine learning and programming languages such as Python. Familiarity with NLP frameworks (like NLTK, spaCy, or Hugging Face), version control systems, and tools such as TensorFlow or PyTorch is typically expected. Strong analytical thinking, curiosity, and effective communication help interns stand out when tackling complex language challenges and collaborating with cross-functional teams. These skills are crucial for contributing to innovative NLP projects, understanding nuanced language data, and successfully adapting to evolving technical requirements.

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

AspectInternship Natural Language ProcessingData Analyst Intern
Required SkillsProgramming (Python), NLP libraries, basic ML conceptsExcel, SQL, data visualization tools
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, marketing sectors
Industry UsageAI, machine learning, NLP projectsData analysis, reporting, business insights
Common Search IntentLearning NLP, AI internshipsData analysis internships, business intelligence

Internship Natural Language Processing focuses on developing skills in NLP techniques, machine learning, and programming, often within tech or research environments. In contrast, Data Analyst Internships emphasize data manipulation, visualization, and reporting skills for business insights. Both roles require analytical skills but differ in technical focus and industry application.

What is an internship in natural language processing?

An Internship in Natural Language Processing (NLP) is a temporary position, often for students or recent graduates, where you gain hands-on experience working with technologies that enable computers to understand and generate human language. Interns in NLP typically assist with data collection, text analysis, model development, and research projects using machine learning and linguistic techniques. These internships help build foundational skills in programming, data science, and AI, and often require familiarity with languages like Python and libraries such as NLTK or spaCy. Through mentorship and real-world projects, interns learn about the latest advancements in NLP and build a portfolio that prepares them for future roles in AI and computational linguistics.

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:

Internship Natural Language Processing jobs near you

Data Scientist

Jobtailor

Chicago, IL • On-site

$120 - $160/hr

Other

Posted 8 hours ago

Posted today

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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