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Llm Intern Jobs (NOW HIRING)

About the internship We're hiring an Engineering Intern for a 13-week internship at our San ... LLM data pipelines, agent orchestration, observability, and the tooling other engineers rely on.

$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 ...

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 ...

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 ...

$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 ...

We are seeking a highly motivated PhD intern to work on LLM-based agents for end-to-end software and enterprise workflows. The internship will focus on building intelligent agents, generating high ...

About the Role We're looking for an AI Research Intern to join our AI team and explore cutting-edge ... LLM post-training (e.g. SFT, RLHF, DPO) Applied AI Engineering * Build AI-powered product features ...

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 ...

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Llm Intern information

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$9

$17

$25

How much do llm intern jobs pay per hour?

As of Aug 9, 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?

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.

More about Llm Intern jobs
What cities are hiring for Llm Intern jobs? Cities with the most Llm Intern job openings:
What are the most commonly searched types of Llm jobs? The most popular types of Llm jobs are:
What states have the most Llm Intern jobs? States with the most job openings for Llm Intern jobs include:
Infographic showing various Llm Intern job openings in the United States as of August 2026, with employment types broken down into 22% Internship, 1% As Needed, 49% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

Software Engineering Intern - Fall 2026

Junior

New York, NY • On-site

$40/hr

Full-time

Re-posted 19 days ago


Job description

About Junior
We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually.
We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms.
Role Description
As a Fall Engineering Intern, you'll be embedded directly in our engineering team and own a meaningful project end-to-end. You'll ship real code, collaborate with full-time engineers, and present your work to the team at the end of the summer. This is not a passive learning experience - we expect you to contribute from day one.
What You'll Work On
  • Building AI-powered features using LLMs to process and structure unstructured research data
  • Contributing to our Next.js / TypeScript frontend for client-facing products
  • Working on data pipelines that turn raw investment research into structured knowledge

What We're Looking For
  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field
  • Comfortable working in TypeScript / JavaScript - Next.js experience is a plus
  • Curious about AI and LLM-powered products
  • Strong communicator who can work closely with a small, fast-moving team
  • Previous internship or co-op experience is a bonus, not a requirement

What You'll Get
  • $40/hr compensation
  • Free daily breakfast/lunch - we have an in-office cook
  • MacBook for the duration of the internship
  • Dedicated engineering mentor
  • Real ownership - your code ships to production
  • Final project presentation to the full team
  • Consideration for a return offer based on performance

Visa & Work Authorization
We welcome applicants who are authorized to work in the US, including:
  • US citizens and permanent residents
  • F-1 students on CPT or OPT
  • Canadian citizens (TN visa)
  • Irish citizens (J-1 intern visa)

If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you!