ZipRecruiter

Log In

1

Internship Llm Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsInternship Llm Jobs

Internship Llm information

See salary details

$5

$17

How much do internship llm jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for internship llm 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 are Internship LLMs?

Internship LLMs typically refer to internship positions designed for students currently pursuing or recently graduated with a Master of Laws (LLM) degree. These internships provide practical legal experience, allowing LLM students to apply their academic knowledge in real-world settings, such as law firms, corporations, non-profits, or government agencies. The goal is to help interns build professional networks, develop specialized skills, and enhance their employability in the legal field. Most LLM internships are short-term and may focus on specific areas of law that align with the intern's interests and coursework.

What are the key skills and qualifications needed to thrive as an LLM (Large Language Model) Internship, and why are they important?

To thrive in an LLM Internship, you typically need a background in computer science, machine learning, or a related field, with strong programming skills in Python and a solid understanding of natural language processing concepts. Familiarity with deep learning frameworks like TensorFlow or PyTorch, and experience with version control systems such as Git, are commonly required. Strong problem-solving abilities, effective communication, and a collaborative mindset will help you stand out in a research or development team. These skills and qualities are important for contributing to cutting-edge AI projects and adapting to the rapidly evolving field of language models.

What types of projects do interns typically work on during an LLM internship, and how do they contribute to the team's goals?

During an LLM (Large Language Model) internship, interns are often assigned to projects that involve data preprocessing, model evaluation, or contributing to the development of NLP applications. Interns may assist in curating datasets, fine-tuning models, or building tools that help improve the performance or usability of LLMs. These tasks are integral to the team's objectives, as interns' contributions help accelerate research, streamline workflows, and ultimately improve product outcomes. Collaboration is common, with interns working closely with engineers, researchers, and product managers to solve real-world challenges.
More about Internship Llm jobs
What cities are hiring for Internship Llm jobs? Cities with the most Internship Llm 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 Internship Llm jobs? States with the most job openings for Internship Llm jobs include:
What job categories do people searching Internship Llm jobs look for? The top searched job categories for Internship Llm jobs are:
Internship Llm jobs near you
Infographic showing various Internship Llm job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 2% As Needed, 91% Full Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.

Intern - AI Engineer

NELNET BUSINESS SOLUTIONS

Lincoln, NE

Part-time

Posted 16 days ago

Job description

Our Vision: We make dreams possible.

Yes, we're a student loan servicer. We're also a technology company, idea incubator, start-up accelerator, and K-12 and higher education expert. At Nelnet, we're so much more than what you think-and we're just getting started. So, no matter what you want to do in life-build codes or build brands-we're the best place to do it.

Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive one-on-one mentorship, competitive pay, casual dress, flexible schedule, intern-specific programming, and meaningful work experience.

Apply to one of our internships today. Your career awaits.

Nelnet's AI Lab is building the agent frameworks, integrations, and technical infrastructure that will define how Nelnet operates with AI over the next several years. AI Engineer Interns join a small, high-velocity team doing that work directly: building and testing agents, exploring LLM-based workflows, researching emerging frameworks, and contributing to production-bound tooling.

Agent Development: Help build, test, and iterate on AI agents using the team's secure agent framework. This includes working with LLM APIs, multi-agent orchestration patterns, and tooling that runs in Nelnet's Microsoft 365 and cloud environment.

Technical Research: Track developments in LLM frameworks, agent architectures, tooling, and industry approaches. Evaluate options against the team's real constraints (security, identity, M365 integration) and surface findings with clear "so what" framing. Research here feeds real decisions, not slide decks.

Integration and Prototyping: Build proof-of-concept integrations between LLM-based systems and Nelnet's internal tools and APIs. Test assumptions early, document what worked and what didn't, and hand off something the team can build on.

Code Review and Documentation: Document design decisions, system behavior, and implementation notes with the precision of someone who expects a future engineer to read it. Participate in code review as both author and reviewer.

Final Presentation: Present your work, findings, and recommendations to AI Lab leadership and team members at the end of the internship period.

Education

Pursuing a degree in Computer Science, Software Engineering, Data Science, or a related technical field.

We care more about what you've built than which courses you've taken. A strong portfolio of personal projects, open-source contributions, or prior technical internships carries more weight than GPA alone.

Experience

Hands-On AI Tool Usage (Required): Has used LLMs for real technical work, not just experimentation. This might mean using Claude or ChatGPT to write, debug, or extend code; building a personal project with an LLM API; or integrating AI tooling into a workflow. Can speak concretely about what they built, how it worked, and what the limits were.

Programming: Python is the primary language. Solid working knowledge is required. Experience with any of the following is a strong plus: LangChain, LangGraph, Claude API, OpenAI/Claude SDK, FastAPI, or similar frameworks. Familiarity with REST APIs, JSON, and basic cloud or serverless patterns is beneficial.

Prior Technical Projects: Personal projects, research, coursework projects, or prior internships that involved building something end-to-end. We want to see evidence of independently scoped and completed technical work, however small.

Collaboration Under Ambiguity: Experience working on a team where requirements weren't perfectly defined. Comfortable asking clarifying questions, proposing solutions, and moving forward without waiting for perfect information.

Competencies

LLM Fluency: Uses LLMs as a genuine engineering tool, not just a novelty. Understands prompt construction, context windows, tool use, and the failure modes that matter in production. Knows when to reach for an LLM and when not to.

Agentic Systems Thinking: Understands how business workflows can be decomposed into agentic patterns: what an agent owns, what it delegates, what triggers it, and where it can fail. Asks the right questions about data access, identity, security, and trust before assuming the happy path.

Programming and Technical Depth: Working Python proficiency. Comfortable reading unfamiliar code, debugging across system boundaries, and writing code others can maintain. Experience with LLM frameworks or API integration is a significant plus.

Research Rigor: Can evaluate a new framework or approach systematically: what problem it solves, what the tradeoffs are, and whether it fits this team's constraints. Not satisfied by marketing copy or surface-level comparisons. Produces findings that are actionable.

Problem-Solving Under Ambiguity: Early-stage environments don't have complete specs. Comfortable breaking down a vague requirement into concrete next steps, identifying what needs to be true before moving forward, and flagging when a direction isn't working.

Communication: Can explain a technical approach to a non-technical stakeholder and a design decision to a senior engineer in the same day. Written communication is precise. Code and documentation reflect the same clarity as verbal explanations.

Curiosity Over Credentials: More interested in understanding how something actually works than in appearing to already know it. Experiments readily, is not defensive about being wrong, and learns faster from real usage than from documentation alone.

Ethical Grounding: Understands that AI systems reflect design choices and that those choices have real consequences. Thinks seriously about data privacy, identity, and the responsible use of AI in an enterprise setting. Can engage with the tradeoffs, not just recite the principles.

Adaptability: The AI tooling landscape changes fast and so does this team's priorities. Comfortable updating assumptions when new information arrives. Not attached to the first approach when a better one emerges.

Pay - $21 - $25


Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.


Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 orcorporaterecruiting@nelnet.net.


Nelnet is a Drug Free and Tobacco Free Workplace.


Use of Artificial Intelligence in Hiring


We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring

Apply