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Remote Llm Engineer Intern Jobs (NOW HIRING)

Ameresco

Energy Engineer Intern

Worthington, OH · On-site +1

$21 - $23/hr

Act as an Energy Engineer Co-Op and help in every aspect of all different types of energy projects ... Compensation may vary by work location, including remote arrangements. We disclose salary ranges ...

SAIC

Cyber Engineering Intern

VA · Remote

$40K/yr

Remote Work, VA, US Date Posted: 2026-06-05 Category: Student Subcategory: Intern Technical ... Mentorship from experienced Cyber Engineer Professionals. Opportunity to build a strong foundation ...

CrowdStrike

Demonstrable hands-on experience in LLM engineering (fine-tuning, prompt engineering, deployment ... Contributions to open-source projects related to data or AI/ML. #LI-RC1 #LI-Remote Benefits of ...

The Pennsylvania State University

$16.50 - $21.50/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Students in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or Engineering ...

Zscaler

Detection Engineer- SkillBridge Intern

Role We are looking for a Detection Engineer- SkillBridge Intern to join our team ... This is a remote role, reporting to the Manager, Detection Engineering in the Red Canary R&D (185 ...

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Remote Llm Engineer Intern information

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

As of Jun 25, 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 June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Full Stack Developer Intern (Remote Opportunity)

Full Stack Developer Intern (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

$25/hr

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

We are currently looking for a Full Stack Developer Intern for a 100% remote position on a large federal government project. This internship supports internal VetsEZ initiatives and federal healthcare IT efforts, providing students with hands-on experience in modern software development practices, AI-assisted development, and Agile delivery. The intern will work alongside experienced engineers in a collaborative, DevSecOps-oriented environment, contributing to real-world applications and learning tools such as AI technologies, Git, Postman, and Jira.
The candidate must reside within the continental US.
Responsibilities:
  • Design, code, test, and debug applications using modern programming practices.
  • Collaborate with senior developers and technical teams to support software development initiatives.
  • Learn and apply tools and technologies, including AI tools, Git, version control, JSON, and testing tools.
  • Assist in maintaining code documentation and version control processes.
  • Support Agile development practices and participate in sprint planning and reviews.
  • Engage in problem-solving and troubleshooting for development challenges.
  • Contribute to team objectives and take on additional responsibilities as needed.

Requirements:
  • Currently pursuing a Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Academic or project-based experience in software development, object-oriented programming, or web development.
  • Proficiency in object-oriented programming languages such as Java or Python.
  • Basic experience with RESTful APIs and/or SQL (all three preferred).
  • Understanding of AI tools used to accelerate coding, testing, and CI/CD processes.
  • Familiarity with Agile development methodologies.
  • Knowledge of version control concepts and software development lifecycle practices.
  • Strong problem-solving skills and attention to detail.
  • Effective communication and ability to collaborate within cross-functional teams.
  • Ability to work in a multi-stakeholder, Agile, and DevSecOps environment.
  • Eagerness to learn and adapt to new tools and technologies.

Additional Qualifications:
  • Exposure to Git and version control tools.
  • Experience with JSON and API testing tools such as Postman or Swagger.
  • Familiarity with Jira or other Agile project management tools.
  • Must be able to obtain a Federal Government clearance (VetsEZ will assist in this process).

Benefits:
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.

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