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How much do remote llm engineer intern jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote llm engineer intern 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 is a Remote LLM Engineer Intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What are the key skills and qualifications needed to thrive as a Remote LLM Engineer Intern, and why are they important?

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

What are the typical projects and responsibilities for a Remote LLM Engineer Intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What is the difference between Remote Llm Engineer Intern vs Remote Machine Learning Engineer Intern?

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

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Remote Llm Engineer Intern jobs near you
Infographic showing various Remote Llm Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Process Innovation - Software Engineering Intern

Process Innovation - Software Engineering Intern

Altasciences

Overland Park, KS • On-site, Remote

Full-time

Posted 22 days ago

Altasciences rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

54th of 105 rated laboratories

Job description

Your New Company!
At Altasciences we all move in unison to assist and work in the discovery, development, and manufacturing of new drug therapies to get them faster to people who need them. No matter your role, we all play an important part and you will have a significant impact on the health and well-being of people across the globe. By living our values of Employee Development, Customer Focus, Quality and Excellence, Respect and Integrity, we look to foster a passionate and collaborative work environment and we are looking for talented and enthusiastic people, like you, to join our growing team! Whether you're a recent college graduate or seeking your next career opportunity, it's time to discover your future at Altasciences.
We are better together and together We Are Altasciences.
About the Role
Report authoring is one of the highest-effort, lowest-leverage activities our scientific and operational teams do. This role will be a small intern team that will spend 10 weeks experimenting - cheaply and quickly - with how modern AI tooling (LLMs, OCR, and adjacent systems) could move our report authors from blank templates to populated first drafts that humans then review, edit, and finalize. The project starts from a blank canvas. The team will focus on one line of business and one document type, work directly with report authors to understand the current workflow, and deliver a working prototype plus an honest recommendation on whether to invest further. The project will be shaped to align with the team's strengths and interests - what you see here is the starting point, not the finish line.
What You'll Do Here
  • Building and breaking small prototypes - trying things, throwing them out, trying again
  • Working with real document content (templates, historical reports, source data) to figure out what's possible
  • Wiring together LLM APIs, OCR tooling, and whatever else the problem calls for
  • Pair-programming and reviewing each other's work; you won't be siloed
  • Sitting in on user interviews with report authors so you understand who you're building for
  • Presenting what you've built (and what hasn't worked) to stakeholders, including senior leadership

What You'll Need to Succeed
High School Seniors through rising college Juniors with a serious interest in computer science or software engineering. We are not looking for a long resume - we are looking for curiosity, the habit of building things, and comfort sitting with ambiguity. If you've taught yourself something outside of class, broken and fixed your own code, or have opinions about how software should be built, we want to hear from you. You should apply even if you don't tick every box. If the project sounds exciting and you can point to one or two things you've built or figured out on your own, that's enough to start a conversation.
In lieu of a Cover Letter
Please choose 2 of the 4 questions below and answer each in 30-60 words.
We're looking for answers that sound like you. Specifics - real people, actual questions, and genuine moments - matter more than polish. The questions themselves are viable parts of your answer; you don't need to repeat them back. Short and honest beats long and impressive.
  • Describe your personal approach to when you do or don't use AI.
  • Describe a system - technical or otherwise - you use to keep yourself organized on a project, and what about it works for you.
  • Describe a problem you noticed outside of school or work and decided to do something about. Focus on what made you notice it, not what you did about it. Include at least one detail that's specific to your situation.
  • What's something you find yourself thinking about that most people you know don't?

#LI-TN1
MOVING IN UNISON TO DELIVER A BIG IMPACT WITH A PERSONAL TOUCH
Altasciences is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability or any other protected grounds under applicable legislation. Reasonable accommodations for persons with disabilities during the recruitment process are available upon request. Join us at Altasciences!

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