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AND POSITION REQUIREMENTS The College/Unit of IST is seeking applicants for part-time job of Privacy/Security in LLM-Driven Agentic Systems PhD Internship w/ Dr. Sharma About the Project: Governance ...

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How much do internship llm jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship llm in the United States is $17.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $17.31 per hour, depending on experience, location, and employer.

What are Internship LLMs?

Internship LLMs typically refer to internship positions designed for students currently pursuing or recently graduated with a Master of Laws (LLM) degree. These internships provide practical legal experience, allowing LLM students to apply their academic knowledge in real-world settings, such as law firms, corporations, non-profits, or government agencies. The goal is to help interns build professional networks, develop specialized skills, and enhance their employability in the legal field. Most LLM internships are short-term and may focus on specific areas of law that align with the intern's interests and coursework.

What are the key skills and qualifications needed to thrive as an LLM (Large Language Model) Internship, and why are they important?

To thrive in an LLM Internship, you typically need a background in computer science, machine learning, or a related field, with strong programming skills in Python and a solid understanding of natural language processing concepts. Familiarity with deep learning frameworks like TensorFlow or PyTorch, and experience with version control systems such as Git, are commonly required. Strong problem-solving abilities, effective communication, and a collaborative mindset will help you stand out in a research or development team. These skills and qualities are important for contributing to cutting-edge AI projects and adapting to the rapidly evolving field of language models.

What types of projects do interns typically work on during an LLM internship, and how do they contribute to the team's goals?

During an LLM (Large Language Model) internship, interns are often assigned to projects that involve data preprocessing, model evaluation, or contributing to the development of NLP applications. Interns may assist in curating datasets, fine-tuning models, or building tools that help improve the performance or usability of LLMs. These tasks are integral to the team's objectives, as interns' contributions help accelerate research, streamline workflows, and ultimately improve product outcomes. Collaboration is common, with interns working closely with engineers, researchers, and product managers to solve real-world challenges.
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AI Research Internship - LLM

Institute of Foundation Models

Sunnyvale, CA • On-site

$100K - $140K/yr

Internship

Posted 20 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