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Llm Intern Jobs (NOW HIRING)

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA

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 ...

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 ...

MX1

Intern, AI Engineer

Chicago, IL · On-site

Intern, AI Engineer The job responsibilities outlined in this document are not exhaustive and may ... Integrate LLM agents with custom REST APIs using function calling / tool use patterns so agents can ...

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 ...

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$30/hr

Intern-Web Application Penetration Tester Department: Product Security Reports to: Director ... Help assess the security of AI-driven features and LLM implementations, checking for ...

Unqork

Intern-Web Application Penetration Tester

$30/hr

Intern-Web Application Penetration Tester Department: Product Security Reports to: Director ... Help assess the security of AI-driven features and LLM implementations, checking for ...

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 · 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 ...

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Llm Intern information

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How much do llm intern jobs pay per hour?

As of Jun 24, 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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What job categories do people searching Llm Intern jobs look for? The top searched job categories for Llm Intern jobs are:
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 23% Internship, 1% As Needed, 73% Full Time, 1% Part Time, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.
AI Engineering Intern (LLM Applications)

AI Engineering Intern (LLM Applications)

Frontline Education

Wayne, PA • On-site

Internship

Posted 10 days ago

Job description

Location
Hybrid within compatible U.S. time zones
How You’ll Contribute to Our Mission
At Frontline Education, our vision is simple but powerful: every school thriving. Every community stronger. Our mission is to transform how schools work, so every educator and student succeeds.
As an AI Engineering Intern focused on Large Language Model (LLM) applications, you’ll help bring that mission to life by building practical, thoughtful AI experiences that solve real-world challenges for educators and school communities. This is a hands-on opportunity to work alongside engineers, product leaders, and platform teams to prototype, develop, and improve AI-powered features that make work simpler, smarter, and more impactful.
You’ll contribute to meaningful projects, learn from experienced mentors, and gain exposure to modern AI systems in production environments. From experimentation to deployment, your work will help shape how AI can responsibly support people and outcomes at scale.
How You’ll Drive Success
  • Contribute to the development of LLM-powered features from concept through deployment, including prototyping, testing, iteration, and implementation.
  • Support retrieval-augmented generation (RAG) workflows, including document ingestion, vector search, and knowledge retrieval experiences.
  • Write, refine, and evaluate prompts while helping improve response quality, reliability, and safety.
  • Integrate AI models and APIs into backend services and workflows using modern engineering practices.
  • Assist with testing, observability, and evaluation efforts to help teams measure quality and performance.
  • Collaborate across engineering, product, and data teams to solve problems thoughtfully and efficiently.
  • Document technical decisions, learnings, and workflows in ways that support shared understanding and long-term team success.
  • Explore emerging AI tools and approaches with curiosity, responsibility, and a focus on meaningful outcomes for users.
What You Bring to Help Us Grow
  • Currently pursuing a Bachelor’s degree in Computer Science or a related technical field, with senior standing preferred.
  • Strong foundational Python programming skills and understanding of software engineering fundamentals.
  • Familiarity with APIs, backend services, and how modern web applications communicate.
  • Ability to learn quickly, ask thoughtful questions, and adapt in fast-evolving technical environments.
  • Interest in solving practical problems through technology and experimentation.
Preferred qualifications include:
  • Exposure to machine learning frameworks such as PyTorch or Hugging Face Transformers.
  • Familiarity with orchestration frameworks such as LangChain or LlamaIndex.
  • Experience exploring cloud environments such as AWS, Azure, or GCP.
  • Interest in responsible AI practices, including bias mitigation, privacy, and safe deployment patterns.
  • Academic, personal, or internship projects involving NLP, conversational AI, document search, or AI-assisted tools.
  • Hands-on experience working with LLM APIs such as OpenAI, Anthropic, or similar platforms.
What You’ll Need to Thrive
  • A growth mindset and willingness to learn through experimentation and feedback.
  • Comfort navigating ambiguity while staying focused on practical solutions and outcomes.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Curiosity about how AI can improve experiences for educators, administrators, and school communities.
  • A thoughtful and responsible approach to using emerging technologies.
  • The ability to balance innovation with reliability, usability, and human-centered design.
  • Motivation to contribute meaningfully, take ownership of your work, and continuously improve.
Our Mission, Our People, Our Purpose
At Frontline Education, we’re reimagining what’s possible by becoming an AI-first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most — their students.
As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference.
How We Support Growth, Balance, and Well-Being
• Personalized Time Off: Take time when it’s needed most — whether that’s a family vacation, a reset day, or simply time to rest and refocus.
• Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones.
• Volunteer Time Off: Paid time to give back and support causes that matter to you.
• Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year.
• Our Philosophy: We believe time away from work helps you bring your best self to it.
Continuous Learning and Growth
• World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning.
• Leadership & Technical Skill Building: Develop new capabilities and chart your own professional path.
• AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving.
• Tuition Reimbursement: Invest in formal education to advance your skills and career.
• Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends—designed to inspire curiosity and continuous improvement.
Health, Happiness, and Purpose
• Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being.
• Employee Assistance Program (EAP): Confidential support for you and your family’s needs.
• Comprehensive Benefits: Health and financial benefits that support your happiness and future.
• A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive—personally, professionally, and purposefully.
Compensation & Benefits
  • The hourly rate for this position will range from $25-35/hr, based on skills and experience. 
  • Access to internal AI tools, learning resources, and hands-on development opportunities.
  • Mentorship from experienced engineers and cross-functional leaders.
  • Opportunity to contribute to meaningful, production-level AI initiatives.
  • Potential consideration for future internship or full-time opportunities based on performance and business needs.
Inclusion, Belonging & Equal Opportunity
Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team.
Interview Process & Data Privacy
Our interview process is designed to help us learn more about your technical interests, problem-solving approach, and growth potential in a collaborative environment.
As part of our interview process, Frontline may use video conferencing platforms that include photo capture and optional transcription features to support notetaking and hiring consistency. Candidates may request accommodations or opt out of transcription by notifying their recruiter in advance. All information is handled securely and used only for legitimate recruitment and hiring purposes.
Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.
 

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