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Internship Natural Language Processing Jobs (NOW HIRING)

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 ...

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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 Jul 3, 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 types of projects can I expect to work on during a Natural Language Processing (NLP) 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 Natural Language Processing, and why are they important?

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 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

Kinyarwanda Language Expert remote

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

Full-time

Posted 5 days ago

Be an early applicant

Job description

Kinyarwanda Language Expert

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

Translate, review, and edit content into and from Kinyarwanda, ensuring accuracy and cultural appropriateness.

Collaborate with AI trainers to refine and enhance Kinyarwanda language datasets and training materials.

Evaluate and correct natural language data for grammar, context, and clarity.

Provide linguistic expertise to support the development of language processing tools and AI models.

Maintain high standards of quality and consistency in all written and verbal communication.

Offer insights on Kinyarwanda linguistic nuances, idioms, and cultural references.

Work cross-functionally with other language experts and project stakeholders to meet deadlines and objectives.

Required Skills and Qualifications:

Native or near-native proficiency in Kinyarwanda, with advanced written and verbal communication skills.

Proven experience in translation, editing, or linguistics involving Kinyarwanda.

Exceptional attention to detail, particularly in grammatical accuracy and contextual meaning.

Strong reading comprehension and analytical abilities in both Kinyarwanda and English.

Ability to work independently and collaboratively in a remote environment.

Familiarity with digital tools and language technology platforms.

Demonstrated commitment to linguistic integrity and quality.

Preferred Qualifications:

Experience as an AI language trainer or in natural language processing projects.

Background in education, linguistics, or localization for Kinyarwanda language.

Understanding of the latest trends in AI and language technology.

As a Kinyarwanda language expert AI trainer, you will play a critical role in shaping the accuracy and cultural resonance of cutting-edge language technologies. If you are passionate about language and eager to make an impact on innovative projects, we invite you to bring your expertise to our customer's team.