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Internship Llm Ai Jobs (NOW HIRING)

Sembix LLC

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AI Engineer (Entry-Level Remote)

Houston, TX · Remote

$60K - $75K/yr

... internship work that you can talk through * Hands-on coding experience in Python, JavaScript, TypeScript, or similar (backend or full-stack preferred) * Familiarity with AI/LLM concepts: prompt ...

Alinia AI

Applied AI Research Intern

Co-founders Ari and Carlos come from leading ML platform at Twitter and LLM governance at Hugging Face. At Alinia, our Applied AI Research Interns play a pivotal role in exploring new possibilities ...

Krew

Full Stack Engineer

San Francisco, CA · On-site

Required : • At least 2 years of full time professional, non-internship experience in full-stack ... LLM/AI-powered products, event-driven systems, or data pipelines • Security, privacy, and ...

Krew

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

At least 2 years of full time professional, non-internship experience in full-stack engineering ... Experience with LLM/AI-powered products, event-driven systems, or data pipelines * Security ...

Krew Research

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

At least 2 years of full time professional, non-internship experience in full-stack engineering ... Experience with LLM/AI-powered products, event-driven systems, or data pipelines * Security ...

Snorkel AI

AI Researcher - Intern

New York, NY · On-site

About the Internship This role offers a unique vantage point: you will conduct original research ... Evaluation datasets and benchmarks for LLM / RAG / agent behavior * Data-centric methods for ...

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Internship Llm Ai information

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How much do internship llm ai jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship llm ai 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 is an internship LLM AI?

An Internship LLM AI is a temporary position where students or recent graduates work with organizations to gain practical experience in applying large language models (LLMs) and artificial intelligence (AI) technologies. Interns typically assist in developing, fine-tuning, and deploying AI models, conduct research, and help solve real-world problems using natural language processing. This role provides valuable hands-on experience and helps interns build skills in machine learning, programming, and data analysis within the fast-growing field of AI.

What kinds of projects can I expect to work on during an internship in LLM AI, and how much autonomy will I have?

As an intern focusing on Large Language Model (LLM) AI, you can expect to contribute to projects such as data preprocessing, model fine-tuning, evaluation of language outputs, and development of AI-powered tools or features. Typically, you'll work under the guidance of experienced machine learning engineers or data scientists, but you'll often be given the opportunity to propose ideas, conduct experiments, and present your findings. The environment is collaborative, with regular meetings and code reviews, and your level of autonomy will grow as you demonstrate proficiency and initiative. This role offers valuable exposure to state-of-the-art NLP techniques and a chance to make meaningful contributions to ongoing research or product development.

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

To thrive as an Internship LLM AI, you generally need a strong background in computer science, mathematics, and machine learning, often supported by coursework or projects involving natural language processing (NLP) and deep learning. Familiarity with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and experience with large language models (LLMs) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate within research or engineering teams. These competencies ensure interns can effectively contribute to AI model development, experimentation, and deployment in a fast-evolving technical environment.

What is the difference between Internship Llm Ai vs Legal Intern?

AspectInternship Llm AiLegal Intern
Required CredentialsLLM in AI or related field, legal backgroundLaw degree, law school enrollment or recent graduate
Work EnvironmentLegal tech companies, AI-focused legal teamsLaw firms, corporate legal departments
Employer & Industry UsageTech-driven legal projects, AI applications in lawTraditional legal settings, case research
Search & Comparison IntentUnderstanding AI-focused legal internshipsLegal internships in traditional law firms

Internship Llm Ai typically involves working in AI-driven legal environments with a focus on technology and law, requiring an LL.M. in AI or related fields. Legal Internships are more traditional, often in law firms or corporate legal departments, requiring a law degree or law school enrollment. Both roles provide valuable legal experience but differ in focus, environment, and required credentials.

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Internship Llm Ai jobs near you
Infographic showing various Internship Llm Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.

AI Research Internship - LLM

Sunnyvale, CA

Institute of Foundation Models
See more jobs at Institute of Foundation Modelsexternal

Internship

Re-posted 14 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.