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Internship Llm Training Jobs (NOW HIRING)

Nvidia

OR · On-site

Hands-on experience with deep learning frameworks (PyTorch) and the modern LLM training/serving ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

Samaya AI

ML Research Intern

Mountain View, CA

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 ...

Delaware Nation Industries

Demonstrated interest in the Department of Defense environment through internships, military ... Exposure to Machine Learning concepts and LLM training. * Familiarity with data visualization tools ...

DNI Delaware Nation Industries

Demonstrated interest in the Department of Defense environment through internships, military ... Exposure to Machine Learning concepts and LLM training. * Familiarity with data visualization tools ...

Samaya AI

Applied Scientist (ML)

Mountain View, CA · Hybrid

$190K - $275K/yr

LLM post-training and reinforcement learning * AI agents for knowledge workflows * ML benchmarks ... ML interns and publish your research findings with the community Experience Required * PhD or ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

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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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Internship Llm Training jobs near you
Infographic showing various Internship Llm Training job openings in the United States as of June 2026, with employment types broken down into 15% As Needed, 23% Full Time, 23% Part Time, and 39% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

AI Research Internship - LLM

Institute of Foundation Models

Sunnyvale, CA • On-site

$100K - $140K/yr

Internship

Posted 25 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
Key Responsibilities
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
• Collect, prepare and processing training and validation datasets.
• Assist in designing and tweaking model architectures.
• Implement testing frameworks to assess model performance.
• Analyze model outputs for accuracy and bias.
• Participate in the review and refinement of AI algorithms.
• Document findings and procedures for team collaboration.
Academic Qualifications
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
$100,000 - $140,000 a year

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