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Internship Llm Jobs (NOW HIRING)

Fluency

Engineering Intern

San Francisco, CA · On-site

$20/hr

... internship * Strong communication skills and a bias toward shipping Nice to have (helps us place you in a track): * Personal or academic projects involving LLM APIs, RAG, agents, or fine-tuning

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers.

Workato

Intern, AI Engineering

San Francisco, CA

Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient ...

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How much do internship llm jobs pay per hour?

As of Aug 16, 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 is an internship LLM?

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 skills and qualifications are needed for an internship LLM?

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 work on during an internship LLM?

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.
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Internship Llm jobs near you
Infographic showing various Internship Llm job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.

Engineering Intern

Fluency

San Francisco, CA • On-site

$20/hr

Part-time

Re-posted 3 days ago

Job description

About Fluency
Fluency is an adaptive work intelligence platform for AI-first enterprises. Our OS-level agent maps how work actually happens across every application an employee uses, with zero integrations required, then surfaces where AI will deliver real ROI and measures the impact of every transformation initiative. Backed by Accel and trusted by teams at companies like Aon, PVH, Specsavers, and HMH, we're replacing guesswork in enterprise AI adoption with hard evidence.
About the internship
We're hiring an Engineering Intern for a 13-week internship at our San Francisco office. You'll work at least 3 days per week (8-hour days) on-site, and the schedule is designed to fit alongside your studies if you're currently enrolled.
Rather than hiring into a fixed role, we place interns into one of three tracks based on your skillset and interests, decided together during your first two weeks:
  • Product Engineering: Build user-facing features end to end and ship real product to real users, working across the stack with designers and product leads.
  • AI Engineering: Work directly with LLMs and agentic systems. Design prompts and evals, build AI-powered features, and improve the model-driven workflows at the heart of our platform.
  • AI Platform Engineering: Build the infrastructure that powers our AI systems: LLM data pipelines, agent orchestration, observability, and the tooling other engineers rely on.

Whichever track you land in, you'll have a dedicated mentor, one concrete deliverable per month, a mid-point check-in at week 6, and a final demo to the team in your last week. Strong interns are considered for return offers and full-time roles.
What you'll do
  • Ship production code from your first weeks, with code review and mentorship from senior engineers
  • Own a scoped project within your track and see it through from design to launch
  • Participate in standups, sprint planning, and technical discussions like any other engineer
  • Present your work to the broader team at the end of the internship

What we're looking for
  • Currently pursuing (or recently completed) a degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Solid programming fundamentals in at least one language (we work primarily in Python and TypeScript)
  • Genuine curiosity about AI products and how LLMs are changing how enterprises work
  • Ability to work from our SF office at least 3 days per week for the full internship
  • Strong communication skills and a bias toward shipping

Nice to have (helps us place you in a track):
  • Personal or academic projects involving LLM APIs, RAG, agents, or fine-tuning
  • Full-stack or frontend experience (React or similar) for the Product track
  • Infrastructure, data pipeline, or LLM orchestration experience for the AI Platform track

Details
  • Duration: 13 weeks, with start dates aligned to the current cohort
  • Schedule: Minimum 3 days per week, 8 hours per day, on-site in San Francisco
  • Compensation: $20 per hour
  • Eligibility: Must be authorized to work in the US. We support F-1 students using CPT or OPT. CPT requires university approval, so apply early.
  • Age: Applicants must be 18 or older

Program dates
  • Applications open: Monday, July 13, 2026
  • Application deadline: Friday, August 14, 2026 (reviewed on a rolling basis, so early applications are encouraged)
  • Internship runs: Monday, September 8 to Friday, December 11, 2026 (13 weeks)

Fluency is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Compensation range is provided in compliance with California pay transparency requirements.

Apply