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Natural Language Processing Intern Jobs (NOW HIRING)

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

HOPPR

Research Intern

$20 - $30/hr

The Research Intern will assist in the curation of medical imaging and clinical report data and the ... and natural language processing of clinical reports * Document code, workflows, analysis ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

Resolve Tech Solutions

Junior Engineering Intern

Addison, TX · On-site

$16.25 - $21/hr

Contribute to projects spanning natural language processing, artificial intelligence, data ... The intern program is typically three months; however, this timeframe may vary depending on the ...

Exactsciences

AI Intern - Co-op Fall 2026

Madison, WI

$35K - $56K/yr

The AI Intern will collaborate with data scientists, engineers, and cross-functional teams to ... Experience with natural language processing (NLP), computer vision, or generative AI (e.g., large ...

Exact Sciences

AI Intern - Co-op Fall 2026

Madison, WI · On-site

$35K - $56K/yr

The AI Intern will collaborate with data scientists, engineers, and cross-functional teams to ... Experience with natural language processing (NLP), computer vision, or generative AI (e.g., large ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math * Experience or strong interest in any of the following: natural language processing ...

Docugami

Data Science PhD Intern

Kirkland, WA

Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math * Experience or strong interest in any of the following: natural language processing ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Natural Language Processing (NLP) * Computer Vision * Deep Learning * Transformers * LLM ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Natural Language Processing (NLP) * Computer Vision * Deep Learning * Transformers * LLM ...

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

As of May 31, 2026, the average hourly pay for natural language processing intern 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 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 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.

Is ChatGPT an NLP?

ChatGPT is an AI language model developed using natural language processing (NLP) techniques, which enable it to understand and generate human-like text. As a tool often used in NLP applications, it demonstrates the practical use of NLP skills that a Natural Language Processing Intern might work with. Understanding NLP concepts is essential for roles involving language models like ChatGPT.
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Natural Language Processing Intern jobs near you
Infographic showing various Natural Language Processing Intern job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 94% Physical, and 6% Hybrid job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
ML PhD Intern - LLMs & Generative AI

ML PhD Intern - LLMs & Generative AI

Truveta

Seattle, WA • On-site

Internship

Posted 11 days ago

Job description

ML PhD Intern - LLMs & Generative AI
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the internship program requires that you are physically present in the United States for the duration of the internship. #LI-remote
Who We Need
We are seeking a highly motivated and talented Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
Internship Details
Our Research PhD Internship is designed for candidates who have finished their classes and are working only on research work to complete their PhD. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our internships are designed to be a minimum of 10 weeks with the opportunity to extend beyond the initially agreed term based on the company's needs and the candidate's desires.
This Opportunity
We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.
In this role, you will:
  • Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
  • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
  • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
  • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
  • Deliver the next generation of innovation in trustworthy healthcare.

Key Qualifications
  • Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
  • Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
  • Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
  • Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
  • Strong communication skills and the ability to work effectively in a collaborative research environment

Preferred Qualifications
  • Experience with distributed parallel training, large-scale multi-modal foundation and generative models
  • Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
  • Familiarity with training multi-modal foundation models
  • Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
  • A track record of publications and contributions to the machine learning and natural language processing communities

This internship opportunity offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We offer:
  • Competitive compensation
  • Company-issued laptop and equipment
  • Opportunities for future full-time positions
  • The hourly pay for this position is $45

Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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