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Internship Natural Language Processing Jobs (NOW HIRING)

1872 Consulting

Data Science Manager

Santa Clara, CA · On-site

Required : • 6+ of software industry experience in Data Science or Natural Language Processing • 2+ years of experience in managing technical teams or track record of technical leadership ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data ...

Soteria Reinsurance Ltd.

WI · On-site

$140 - $190/hr

The role will focus on developing and evaluating AI‑based solutions using natural language processing (NLP), large language models (LLM), machine learning (ML), knowledge graphs, agentic AI ...

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Internship Natural Language Processing information

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

As of Sep 4, 2026, the average hourly pay for internship natural language processing in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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 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 cities are hiring for Internship Natural Language Processing jobs?

Cities with the most Internship Natural Language Processing job openings:

What are the most commonly searched types of Natural Language Processing jobs?

The most popular types of Natural Language Processing jobs are:

What states have the most Internship Natural Language Processing jobs?

States with the most job openings for Internship Natural Language Processing jobs include:

Internship Natural Language Processing jobs near you

Data Scientist, Level 3

Independent Software, Inc.

Annapolis, MD • On-site

Full-time

Re-posted 7 days ago

Job description

What You Will Do:
As a Data Scientist Level 3 at Independent Software, you will support mission-focused Natural Language Processing (NLP) and data science efforts involving spoken and written language data. You will develop automated solutions for processing, tokenizing, annotating, and analyzing natural language data and help evaluate and improve existing analytical models.
Key Responsibilities:
  • Develop and support Natural Language Processing (NLP) solutions
  • Process and analyze spoken and written language data
  • Develop automated methods for tokenizing natural language data
  • Develop automated solutions for annotating language data with parts-of-speech information
  • Evaluate and improve existing models by comparing performance against human-generated speech and text annotations
  • Apply Python and data science techniques to language-processing challenges
  • Support development and evaluation of machine learning and AI-based solutions
  • Analyze results and document technical findings
  • Collaborate with technical and mission teams to support project objectives

Required Skills and Qualifications:
  • Strong Python programming skills
  • Experience with Natural Language Processing (NLP)
  • Experience processing and analyzing natural language data
  • Experience developing automated data-processing or analytical solutions
  • Strong analytical and problem-solving skills
  • Ability to work with complex datasets and communicate technical findings
Experience with Machine Learning, Large Language Models (LLMs), MDLA, AI techniques, and/or AI testing is a plus.
Education and Experience:
Candidates must meet one of the following:
  • Master's degree plus six (6) years of relevant experience; OR
  • Bachelor's degree plus eight (8) years of relevant experience; OR
  • Associate's degree plus ten (10) years of relevant experience

Degree must be in Computer Science, Computer Engineering, Information Systems, or a related technical discipline.
Clearance Requirement:
  • Must possess an active TS SCI with appropriate Polygraph to be considered for this role

Why Choose Independent Software:
At Independent Software, our people are the mission. We've built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive.
When you join us, you will:
  • Support critical national security missions that matter
  • Be part of a close-knit, employee-first culture where your voice is heard
  • Expand your skills through ongoing training, mentorship, and career development
  • Enjoy competitive compensation, generous benefits, and work-life balance

Ready to take the next step in your career? Join us and be part of something bigger.
Apply today.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Apply