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Llm Intern Jobs (NOW HIRING)

WorldQuant

Role Summary We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM initiative team. You will assist in various aspects of the software development lifecycle, including ...

Alinia AI

Applied AI Research Intern

Applied AI Research Intern We are an early-stage AI startup on a mission to enable the safe and ... Co-founders Ari and Carlos come from leading ML platform at Twitter and LLM governance at Hugging ...

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 ...

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

$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 ...

OpusClip

AI Research Intern

Mountain View, CA · On-site

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

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Llm Intern information

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How much do llm intern jobs pay per hour?

As of Aug 8, 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:
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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 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 Engineer: AI/ML & LLM Intern Opportunities for University Students, Redmond

Microsoft

Redmond, WA • On-site

$7.4K - $12K/mo

Internship

Posted 5 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

Overview
Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential, and excitement for the journey ahead.
As a Software Engineering Intern - AI/ML & LLM, you will help build AI-powered products and platforms that leverage machine learning, large language models, and intelligent services. You will work with engineers, applied scientists, and product teams to develop, evaluate, and optimize AI experiences that solve real-world customer problems. You may contribute to model integration, retrieval systems, inference services, evaluation frameworks, or the infrastructure that enables AI applications at scale. This opportunity will allow you to expand your knowledge of modern AI technologies while helping shape the future of software development and user experiences.
At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You'll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
  • Applies engineering principles to solve complex problems through sound and creative engineering.
  • Works with appropriate stakeholders to determine user requirements for a feature.
  • Quickly learns new engineering methods and incorporates them into work processes.
  • Seeks feedback and applies internal or industry best practices to improve technical solutions.
  • Demonstrates skill in time management and completing software projects in a cooperative team environment.
  • Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications
Required Qualifications
  • Currently pursuing Bachelor's Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship,
    • OR currently pursuing Master's Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship.

Preferred Qualifications
  • 1+ year(s) of programming experience.
  • 6+ months of experience in delivering projects in teams.
  • 1+ year(s) of experience in developing and applying data structures and algorithms.
  • Coursework, projects, or prior experience in machine learning, artificial intelligence, or data science.
  • Experience programming in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar technologies.
  • Understanding of machine learning concepts, model evaluation, retrieval systems, large language models, or prompt engineering.
  • Familiarity with APIs, cloud services, distributed computing, search/ranking, RAG architectures, or performance optimization.

The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,410.00 - $12,250.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

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Benefits

Hours and flexibility

Workplace

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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