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Internship Llm Engineer Jobs (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA · On-site

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...

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How much do internship llm engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for internship llm engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Llm Engineer vs Llm Engineer?

AspectInternship Llm EngineerLlm Engineer
Required CredentialsEnrolled in or recent graduate of an LLM program, some technical backgroundTypically holds an LLM degree with specialized legal or technical expertise
Work EnvironmentInternship setting, learning-focused, supervisedFull-time professional role, project-driven, collaborative
Employer & Industry UsageLaw firms, legal tech companies, research institutionsLegal departments, law firms, legal tech companies

The main difference is that an Internship Llm Engineer is a temporary, learning-focused position for students or recent graduates, while an Llm Engineer is a full-time professional role requiring more experience and expertise. Internships serve as entry points into the industry, whereas Llm Engineers handle ongoing legal and technical projects.

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

To thrive as an Internship LLM Engineer, you need a solid background in computer science, proficiency in Python, and foundational knowledge of machine learning and natural language processing concepts. Experience with deep learning frameworks like PyTorch or TensorFlow and familiarity with large language models are typically required, alongside coursework or certifications in AI or data science. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns adapt quickly and contribute to innovative projects. These skills are crucial for understanding complex AI systems and collaborating within fast-evolving research and engineering environments.

What types of projects and responsibilities can an Internship LLM Engineer expect to work on?

As an Internship LLM Engineer, you'll typically be involved in tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. Interns often collaborate closely with senior engineers and data scientists, contributing to research experiments and model deployment efforts. This role offers exposure to the latest advancements in AI and provides hands-on experience with large-scale machine learning workflows, making it a valuable stepping stone for a future career in AI engineering.

What does an Internship LLM Engineer do?

An Internship LLM Engineer works with large language models (LLMs), such as GPT or similar AI systems, to develop, fine-tune, or integrate these models into products and services. Their responsibilities often include data preprocessing, model training, evaluation, and creating solutions that leverage natural language processing (NLP) capabilities. Interns may also help in researching new methods to improve model performance or reduce computational costs. This role provides hands-on experience with state-of-the-art AI technologies and exposure to real-world machine learning workflows.
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Internship Llm Engineer jobs near you
Infographic showing various Internship Llm Engineer job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 19% Part Time, 8% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

AI Research Internship - LLM

Institute of Foundation Models

Sunnyvale, CA • On-site

$100K - $140K/yr

Internship

Posted yesterday

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

Apply