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Llm Intern Jobs (NOW HIRING)

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 ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... LLM fundamentals Cloud & MLOps * AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Cotiviti

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Labelbox

Applied Research Intern

San Francisco, CA · On-site

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... Passion and experience for LLM evaluation and benchmarking. * Expertise in training data quality ...

Mountain Capital Partners

People Team Intern

Durango, CO · On-site

$16 - $20/hr

What a People Team Intern does This role is a generalist intern position with three prioritized ... Conduct brief, focused AI/LLM research assignments (summaries, prompt testing) 3) Building ...

MOUNTAIN CAPITAL PARTNERS

People Team Intern

Durango, CO · On-site

$16 - $20/hr

What a People Team Intern does This role is a generalist intern position with three prioritized ... Conduct brief, focused AI/LLM research assignments (summaries, prompt testing) 3) Building ...

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative ... Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt ...

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Llm Intern information

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How much do llm intern jobs pay per hour?

As of Jun 25, 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 June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.
Software Engineering Intern

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Posted 10 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

11th of 16 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of deploying AI / ML solution on Mobile Apps. In this role, you will focus on developing cutting-edge AI solutions, with a particular emphasis on LLM and generative AI, which will be integrated with existing Copart Mobile Apps. You'll work alongside experienced professionals to create and implement AI-driven features that enhances our Mobile apps and services it provides.
Key Responsibilities:
  • Develop and maintain mobile applications with a focus on AI, LLM, and generative AI integration.
  • Assist in the implementation of machine learning models and AI algorithms within existing Mobile Apps.
  • Contribute to the design and development of AI-powered features using LLMs and generative AI techniques integrated with React Native Mobile Applications.
  • Assist in developing and implementing prompt engineering strategies for LLMs
  • Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions
  • Conduct experiments and analyze results to improve AI model performance and integration
  • Stay up-to-date with the latest advancements in AI, particularly in LLM and generative AI technologies
  • Contribute to documentation, testing, and deployment of AI-enhanced software mobile applications
  • Participate in code reviews and follow best practices in software development

Qualifications:
  • Basic understanding of machine learning concepts, particularly in natural language processing and generative AI.
  • Familiarity with front end apps and keen in working on apps based on React JS/React Native.
  • Hands on with JavaScript language and technologies such as React-Native, ReactJS and Node.js.
  • Knowledge with SOAP and Restful Services.
  • Knowledge of data structures, algorithms, and software design principles

#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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