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Internship Llm Training Jobs (NOW HIRING)

The primary focus of this internship is to conduct novel research that advances these fields, with ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

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Internship Llm Training information

What types of projects and tasks can I expect to work on during an internship in LLM training?

As an intern focusing on LLM (Large Language Model) training, you will likely be involved in tasks such as collecting, cleaning, and annotating datasets, running model training experiments, evaluating model outputs, and assisting in fine-tuning models for specific use cases. You may also collaborate with machine learning engineers and researchers to troubleshoot training issues and document results. The work environment is typically collaborative, with opportunities to learn from experienced professionals and contribute to real-world AI projects.

What are the key skills and qualifications needed to thrive as an LLM training intern, and why are they important?

To succeed as an LLM Training Intern, you typically need a background in computer science, machine learning, or a related field, along with strong programming skills in Python. Familiarity with machine learning frameworks such as PyTorch or TensorFlow and experience using data annotation or model evaluation tools are important. Analytical thinking, attention to detail, and effective communication help interns collaborate with teams and troubleshoot model behavior. These skills are crucial for contributing to the development and refinement of large language models in a fast-evolving AI landscape.

What is the difference between Internship Llm Training vs Legal Assistant?

AspectInternship Llm TrainingLegal Assistant
Required CredentialsLLM degree or in progressBachelor's degree in law or related field
Work EnvironmentEducational, training-focused, often temporaryOffice setting, ongoing support role
Employer & Industry UsageLaw firms, legal departments, academic institutionsLaw firms, corporate legal departments, government agencies
Common Search & ComparisonYesNo

Internship Llm Training is primarily a learning and skill-building opportunity for law graduates or students pursuing an LL.M., often temporary and educational. Legal Assistants are employed roles supporting legal work with ongoing responsibilities. The main difference lies in the focus: training and education versus practical support work.

What is an internship LLM training?

An Internship LLM Training is a practical learning experience designed for students or recent graduates pursuing or holding a Master of Laws (LLM) degree. It provides hands-on training in legal research, drafting, case analysis, and other legal skills within a real-world setting, such as a law firm, corporate legal department, or non-profit organization. This internship helps participants gain valuable industry exposure, enhance their legal expertise, and build professional networks, which can be beneficial for their future legal careers. The training may also involve participating in workshops, seminars, or mentorship programs. Overall, it is a crucial step for LLM students to bridge the gap between academic studies and professional legal practice.
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The most popular types of Llm Training jobs are:

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States with the most job openings for Internship Llm Training jobs include:

Infographic showing various Internship Llm Training job openings in the United States as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

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

Meta

Bellevue, WA

Internship

Re-posted yesterday


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 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 $12,667/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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