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Natural Language Processing Intern Jobs in Indiana

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

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Natural Language Processing Intern information

See Indiana salary details

$8

$16

$22

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

As of Jun 24, 2026, the average hourly pay for natural language processing intern in Indiana is $16.47, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $18.32 per hour, depending on experience, location, and employer.

What types of projects or tasks do Natural Language Processing Interns typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

What is a Natural Language Processing Intern job?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

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

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

What are popular job titles related to Natural Language Processing Intern jobs in Indiana? For Natural Language Processing Intern jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Intern jobs in Indiana look for? The top searched job categories for Natural Language Processing Intern jobs in Indiana are:
Post Doc Research Associate

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Posted 13 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

263rd of 539 rated colleges and universities


Job description

Req Id: 35103
Job Title: Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
The Institute for Innovation Science at Purdue University, in collaboration with the Air Force Research Lab (AFRL) Regional Network Midwest, is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work within both the Institute and AFRL, advancing the science of innovation through research, collaboration, and workforce development. The initial fiscal year appointment is for one year with the possibility of extension, up to a maximum of three years, contingent on funding.
Although other duties may be assigned as needed, the individual selected for this position is expected to:
-Conduct research to understand innovation behaviors and processes and cultivate innovation ecosystems in complex organizations tackling multi-stakeholder, multi-attribute challenges.
-Contribute to the Institute for Innovation Science's mission of empowering future leaders through Innovation Science education.
-Collaborate with the AFRL Regional Network Midwest to support innovation and technological advancements.
-Engage with AFRL scientists, engineers, and member partners to facilitate networking and collaborative research.
About the Institute for Innovation Science:
Our mission is to advance society's understanding of the mindsets, behaviors, tools, and methods employed in the innovative activity of individuals and organizations to drive desirable outcomes from inspiration to impact. Learn more about this emerging field and exciting institute here: https://engineering.purdue.edu/Innovation
Education and Experience
  • Ph.D. in a relevant field (e.g., Innovation / Technology Management, Business / Technology Strategy, Innovation Studies, Science & Technology Policy, Systems Engineering).
  • 4-6 years research and development experience with primary authorship in peer-reviewed journal publications.
  • Strong background in research and innovation.
  • Track record of successful work on interdisciplinary teams.
  • Experience with technological transitions is a plus.

Skills
  • Demonstrated mastery of written and verbal communication.
  • Excellent team collaboration skills.
  • Effective analytical and problem-solving abilities.
  • Ability to manage multiple projects and meet deadlines.
  • Proficiency in research methodologies and data analysis.
  • Ability to work independently and as part of a team.
  • Strong organizational skills and attention to detail.
  • Experience teaching student and/or professional cohorts.
  • Working knowledge of natural language processing, topic modeling, sentiment analysis and artificial intelligence (particularly LLM) API integration
  • Familiarity with grant writing and funding acquisition is desirable.

Benefits Eligibility
YES
FLSA Status
Exempt

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