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Internship Llm Engineer Jobs (NOW HIRING)

IntelliTrans

AI/ML Engineer

Atlanta, GA

Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented ... internships and professional experience considered). * Demonstrated experience building and ...

IntelliTrans

AI/ML Engineer

Atlanta, GA · On-site

Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented ... internships and professional experience considered). * Demonstrated experience building and ...

IntelliTrans

AI/ML Engineer

Atlanta, GA · On-site

Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented ... internships and professional experience considered). * Demonstrated experience building and ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA

$19 - $65/hr

LLM Integration: Leverage Large Language Models (LLMs) to architect and implement a pipeline that ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

Auctor AI

Software Engineering Intern

New York, NY · On-site

$80/hr

Internship Overview Join us in New York City for 10-12 weeks and help build the next generation of ... Contribute features to our Next.js + Python stack, from API to UI * Prototype and benchmark LLM ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

LLM Integration: Leverage Large Language Models (LLMs) to architect and implement a pipeline that ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

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How much do internship llm engineer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for internship llm engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship LLM Engineer, and why are they important?

To thrive as an Internship LLM Engineer, you need a solid background in computer science, proficiency in Python, and foundational knowledge of machine learning and natural language processing concepts. Experience with deep learning frameworks like PyTorch or TensorFlow and familiarity with large language models are typically required, alongside coursework or certifications in AI or data science. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns adapt quickly and contribute to innovative projects. These skills are crucial for understanding complex AI systems and collaborating within fast-evolving research and engineering environments.

What types of projects and responsibilities can an Internship LLM Engineer expect to work on?

As an Internship LLM Engineer, you'll typically be involved in tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. Interns often collaborate closely with senior engineers and data scientists, contributing to research experiments and model deployment efforts. This role offers exposure to the latest advancements in AI and provides hands-on experience with large-scale machine learning workflows, making it a valuable stepping stone for a future career in AI engineering.

What does an Internship LLM Engineer do?

An Internship LLM Engineer works with large language models (LLMs), such as GPT or similar AI systems, to develop, fine-tune, or integrate these models into products and services. Their responsibilities often include data preprocessing, model training, evaluation, and creating solutions that leverage natural language processing (NLP) capabilities. Interns may also help in researching new methods to improve model performance or reduce computational costs. This role provides hands-on experience with state-of-the-art AI technologies and exposure to real-world machine learning workflows.

What is the difference between Internship Llm Engineer vs Llm Engineer?

AspectInternship Llm EngineerLlm Engineer
Required CredentialsEnrolled in or recent graduate of an LLM program, some technical backgroundTypically holds an LLM degree with specialized legal or technical expertise
Work EnvironmentInternship setting, learning-focused, supervisedFull-time professional role, project-driven, collaborative
Employer & Industry UsageLaw firms, legal tech companies, research institutionsLegal departments, law firms, legal tech companies

The main difference is that an Internship Llm Engineer is a temporary, learning-focused position for students or recent graduates, while an Llm Engineer is a full-time professional role requiring more experience and expertise. Internships serve as entry points into the industry, whereas Llm Engineers handle ongoing legal and technical projects.

More about Internship Llm Engineer jobs
What cities are hiring for Internship Llm Engineer jobs? Cities with the most Internship Llm Engineer job openings:
What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
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What job categories do people searching Internship Llm Engineer jobs look for? The top searched job categories for Internship Llm Engineer jobs are:
Internship Llm Engineer jobs near you
Infographic showing various Internship Llm Engineer job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 42% Physical, 45% Hybrid, and 13% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Remote Senior Software Engineer - 34123 (San Francisco)

Remote Senior Software Engineer - 34123 (San Francisco)

Turing

San Francisco, CA • Remote

$142.70K - $188.10K/yr

Part-time

Medical, PTO

Posted 3 days ago

Job description

1 day ago Be among the first 25 applicants

We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the worlds fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Youll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

  • Analyze and triage GitHub issues across trending open-source libraries.
  • Set up and configure code repositories, including Dockerization and environment setup.
  • Evaluating unit test coverage and quality.
  • Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
  • Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
  • Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

  • Experience working with well-maintained, widely-used repositories with 500+ stars
  • Proficiency with Git, Docker, and basic software pipeline setup.
  • Ability to understand and navigate complex codebases.
  • Comfortable running, modifying, and testing real-world projects locally.
  • Experience contributing to or evaluating open-source projects is a plus.

Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required.

Nice to Have:

  • Previous participation in LLM research or evaluation projects.
  • Experience building or testing developer tools or automation agents.
  • Perks of Freelancing With Turing:
  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Commitment required: 20 hours per week with some overlap with PST
  • Employment type: Contractor assignment (no medical/paid leave)
  • Duration of contract: 1 month with expected start date as next week
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeContract
Job function
  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

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