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Intern Nlp Jobs (NOW HIRING)

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Familiarity with NLP concepts and foundational Generative AI models. * Awareness of responsible AI ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Familiarity with NLP concepts and foundational Generative AI models. * Awareness of responsible AI ...

Cadence

Software Engineering Intern

Pittsburgh, PA · On-site

Strongfoundation in machine learning, deep learning, and natural language processing (NLP) and LLM. * Technical Skills * Proficiency in Python and experience with frameworks like PyTorch, TensorFlow ...

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

Applied Scientist AI/ML Intern Location : Remote/United States About Us Wealth.com is the industry ... Train, finetune and deploy large-scale NLP and CV models to power complex document understanding ...

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How much do intern nlp jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for intern nlp in the United States is $44.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $70.67 per hour, depending on experience, location, and employer.

What are typical projects or tasks assigned to NLP interns?

NLP interns commonly work on tasks such as preprocessing and cleaning textual datasets, developing and evaluating machine learning models for language understanding, and assisting in the integration of NLP solutions into existing products. You might also contribute to research prototypes, experiment with new algorithms, or help optimize model performance under the guidance of senior data scientists and engineers. Depending on the company, you could see your work impact chatbots, search engines, or automated document processing systems. The role is highly collaborative, often involving daily stand-ups, code reviews, and pairing with both peers and mentors. This practical, hands-on experience is designed to build your technical expertise while exposing you to real-world NLP challenges and workflows.

What is an Intern NLP job?

An Intern NLP (Natural Language Processing) job involves working on projects related to machine learning, linguistics, and AI to develop and improve language models, chatbots, and text-processing applications. Interns typically assist with data preprocessing, model training, and evaluating NLP algorithms under the guidance of senior engineers or researchers. They may also contribute to research papers, optimize model performance, and integrate NLP solutions into real-world applications.

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

To thrive as an Intern in NLP (Natural Language Processing), you need a strong foundation in computer science, linguistics, and mathematics, often supported by current enrollment in a related degree program. Experience with programming languages such as Python, familiarity with NLP libraries like NLTK, spaCy, or Hugging Face Transformers, and knowledge of machine learning frameworks are highly valued. Strong analytical thinking, curiosity, and clear communication skills set exceptional candidates apart. These skills are essential for contributing effectively to real-world NLP projects, learning from experienced professionals, and adapting to rapidly evolving technologies.

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Intern Nlp jobs near you
Infographic showing various Intern Nlp job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $92,577 per year, or $44.5 per hour.
Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta

Menlo Park, CA

Internship

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities:
  • Perform research to advance the science and technology of intelligent machines
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
  • Analyze and improve efficiency, scalability, and stability of various deployed systems
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications:
  • Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
  • Experience working and communicating cross functionally in a team environment
  • Experience with training deep neural networks for key NLP tasks
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Intent to return to degree program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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