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Llm Intern Jobs (NOW HIRING)

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

We are building an LLM-powered agent to help MLEs collect experiment context, analyze experiment ... We're looking for an intern to help build the data foundation for this agent, with a focus on ...

Workato

Intern, AI Engineering

San Francisco, CA

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Nelnet, Inc.

Intern - AI Engineer

Lincoln, NE · On-site

Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive ... Track developments in LLM frameworks, agent architectures, tooling, and industry approaches.

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of ... Develop and maintain mobile applications with a focus on AI, LLM, and generative AI integration ...

Cotiviti

$32 - $40/hr

Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level ... intern Employment Type: OTHER

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Llm Intern information

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How much do llm intern jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for llm intern in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are some common challenges faced by an LLM Intern when working on language model projects?

As an LLM Intern, you may encounter challenges such as understanding and preprocessing large-scale datasets, tuning model parameters for optimal performance, and staying updated with rapidly evolving AI research. Collaborating across teams—such as with data scientists, engineers, and researchers—can also require effective communication and adaptability. Additionally, balancing hands-on coding tasks with learning new tools and methodologies is a typical part of the role, making time management and continuous learning key to success.

What is an LLM intern?

An LLM intern is a student or recent graduate pursuing or holding a Master of Laws (LL.M.) degree who gains practical legal experience through an internship. These internships allow LLM students to work in law firms, corporate legal departments, public interest organizations, or governmental agencies. The role typically involves legal research, drafting documents, assisting with case preparation, and other tasks relevant to the host organization's legal work. LLM internships help students apply their academic knowledge, build professional networks, and enhance their resumes for future legal careers.

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

To thrive as an LLM Intern, you need a solid understanding of natural language processing, machine learning fundamentals, and programming skills—often supported by progress toward a degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, and version control systems like Git is typically expected. Strong problem-solving abilities, effective communication, and a willingness to learn quickly help you stand out. These skills are crucial for contributing to advanced language model projects and collaborating effectively with research and engineering teams.

What is the difference between Llm Intern vs Data Scientist Intern?

AspectLlm InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a law degree or related legal studiesUsually pursuing or completed a degree in Data Science, Computer Science, or related fields
Work EnvironmentLegal firms, tech companies, or research institutions focusing on AI and legal techTech companies, finance firms, or research labs working on data analysis and modeling
Industry UsageLegal tech, AI research, law firmsTechnology, finance, healthcare, and research sectors
Common Search/ComparisonYesNo

The Llm Intern typically focuses on legal research, compliance, and legal tech projects, often requiring a law background. In contrast, a Data Scientist Intern works on data analysis, machine learning models, and statistical projects. While both roles may involve AI and tech, their core skills, industry applications, and educational backgrounds differ significantly.

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Llm Intern jobs near you
Infographic showing various Llm Intern job openings in the United States as of July 2026, with employment types broken down into 18% Internship, 1% As Needed, 50% Full Time, 28% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.
Artificial Intelligent LLM Research & Development Co-Op / Intern

Artificial Intelligent LLM Research & Development Co-Op / Intern

Pereless Systems

Red Bank, NJ

$15.50 - $20.50/hr

Internship

Re-posted 8 days ago

Job description

At Pereless Systems, we are the leading recruiting cloud platform since 2000, we are at the forefront of AI and machine learning innovation, driving solutions that impact the future. Our team is dedicated to creating cutting-edge technologies that enhance human capabilities and streamline processes. We are currently seeking a passionate and skilled AI LLM Co-op/Intern to join our dynamic team. This role is an exciting opportunity to train and tune existing open-source models with resume content and provide summary and prediction for future applicants.

Why Join Us?

Pereless Systems offers a dynamic and supportive work environment where innovation and initiative are celebrated. As part of our team, you'll have the opportunity to work on groundbreaking projects and make substantial contributions to the field of AI. We provide comprehensive mentorship, professional development opportunities, and a network of industry experts to ensure your co-op/internship experience is exceptionally rewarding.

As an AI LLM Co-op/Intern, you will work closely with our AI research and development team to contribute to the enhancement of our AI systems. Your primary focus will be on the training and tuning of existing open-source language model frameworks, specifically targeting the optimization of resume content processing. You will also assist in developing models that can provide insightful summaries and predictions regarding future job applicants, aiding in our recruitment processes.

Key Responsibilities:

  • Collaborate with AI experts to understand and contribute to the development pipeline of language models.
  • Train and fine-tune open-source AI models using large datasets, particularly resume content.
  • Evaluate model performance and apply iterative improvements.
  • Develop and implement algorithms capable of generating summaries and predictive analyses of job applicants.
  • Document and report findings, insights, and methodologies throughout the development process.
  • Stay updated with the latest trends and advancements in AI and machine learning.

  • Legally authorized to work permanently in the U.S. and not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
  • Actively enrolled in an accredited university through the duration of co-op assignment pursuing a Bachelor's, Master's or PhD degree
  • Ability to commit to 6-month duration - 40 hours per week (Monday - Friday) for the length of the assignment (June 17, 2024 - December 13, 2024)
  • Minimum cumulative 3.0 GPA
  • Currently enrolled in or recently graduated from a degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong foundation in AI principles, machine learning, and natural language processing (NLP).
  • Experience with Python programming and libraries such as TensorFlow, PyTorch, or similar.
  • Familiarity with open-source language models and frameworks.
  • Ability to handle large datasets and perform data cleaning and preprocessing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Prior experience or projects involving natural language processing or machine learning.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Contributions to open-source projects or publications in relevant fields.