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Remote Llm Engineer Intern Jobs (NOW HIRING)

Aembit, Inc.

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$17.75 - $23.50/hr

Summer 2026 | 10 Weeks | Fully Remote | Full-Time | West Coast-Friendly Schedule About Aembit ... Hands-on experience with LLM APIs and prompt engineering beyond basic chat (Claude, OpenAI, or ...

Aembit

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$15.25 - $20.50/hr

Summer 2026 | 10 Weeks | Fully Remote | Full-Time | West Coast-Friendly Schedule About Aembit ... Hands-on experience with LLM APIs and prompt engineering beyond basic chat (Claude, OpenAI, or ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers.

Truveta

ML PhD Intern - LLMs & Generative AI

Seattle, WA · On-site

Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...

Lochner

Airport Civil Engineer Intern

Centennial, CO · On-site +1

$23 - $26/hr

Perform engineering tasks related to airfield grading, pavement and electrical design under the ... Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ...

Unqork

Intern-Web Application Penetration Tester

$30/hr

Help assess the security of AI-driven features and LLM implementations, checking for ... Work closely with software engineers to explain security flaws and guide them on secure coding best ...

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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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What cities are hiring for Remote Llm Engineer Intern jobs? Cities with the most Remote Llm Engineer Intern job openings:
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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.
SkillBridge Intern - Platform Engineer

SkillBridge Intern - Platform Engineer

Defense Unicorns

Remote

Internship

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago

Job description

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.
Please note that eligible Service members must be within 180 days of separating from Service. Based on the evolving needs of our fast paced startup, we recruit for SkillBridge on a rolling basis. Opportunities will be posted as they become available. If no SkillBridge Intern roles are currently posted that are aligned with your experience, no internships are presently available. Please check back periodically to see when relevant opportunities arise.
Role Description
We are seeking a talented and experienced Platform Engineer to join our team. Possessing strong proficiency with Kubernetes, the ideal candidate will play a crucial role in the development and maintenance of our platform, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers.
As a Platform Engineer within our organization, you will join a team of dedicated unicorns who are focused on advancing freedom and independence globally. Our teams work on various different technical baselines depending on specific engagements. We focus our Products on the Platform layer, but to deliver for our Heroes, we also work IaC automation, security, and implementation.
Responsibilities:
You will help us automate and build a runtime Production Environment and serve as a link between the Applications, either custom development, COTS, or OSS, and that environment, advocating best practices and facilitating communication between the application teams and platform teams.
In this position, you will be expected to:
  • Validate Solutions/Implementations: Ensure that solutions and implementations align with the outlined tasks and business requirements. Conduct thorough validations to maintain the integrity and efficiency of the platform.
  • Independently Problem Solve: Demonstrate the ability to identify and solve business problems independently. Develop small components to address specific challenges without relying on explicit architecture diagrams.
  • Understand Medium-Level Tasking: Comprehend how medium-level tasks contribute to the achievement of overall goals. Collaborate with cross-functional teams to integrate various components into a cohesive and functional platform.
  • Estimate Time and Effort: Provide accurate time and effort estimates for medium-sized tasks. Assist in project planning and resource allocation based on estimated timelines.
  • Demonstrate Programming Language Proficiency: Possess familiarity with at least one programming language. Exhibit a basic understanding of when to use a programming language versus a shell for efficient task execution.
Own the bridge between the Application Development team(s) and the Production Environment
Travel Expectations: 10%-25%
The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.
Preferred Experience and Qualifications:
  • Proven experience as a Platform Engineer or similar role, with a focus on system architecture and development.
  • Demonstrated experience with cloud-native technologies such as Kubernetes, Google Cloud, and Docker.
  • Familiarity with continuous delivery, distributed architectures, systems, everything-as-code, containerization, and cloud services.
  • Proficiency in at least one programming language (e.g., Python, Go, Ansible) and a basic understanding of shell scripting.
  • Proficient with YAML.
  • Experienced in working on a team following an Agile framework in a remote environment.
  • Strong problem-solving skills and the ability to work independently.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
  • Experience with security automation and familiarity with API Security, Container Security, and Cloud Security.
  • Familiar with architecture security design, monitoring, and performance instrumentation in a complex enterprise environment.
  • Comfort with debugging systems and reading/writing code.
  • Active Secret clearance required; must be eligible to obtain a TS/SCI clearance.
  • Possess a DoD 8570 IAT II certification.
  • Experienced in Department of Defense work, specifically working on a production Authority to Operate (ATO'd) system.
  • Knowledgeable about DevSecOps/DevOps and CI/CD theory.

Who We Are
Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.
What We Do
We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily.
Who We Serve
Defense Unicorns' customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products.
What We Work On
  • Kubernetes
  • Cloud Environments (AWS/GCP and Azure)
  • Infrastructure-as-code (like Terraform/Pulumi)
  • Continuous Delivery and automation tooling
  • GitOps
  • Containers
  • CNCF projects and open source products and packages
  • Helm/Kustomize-Value Stream Mapping
  • Building and improving security delivery
  • Building Kubernetes and cloud native applications
Benefits Our Unicorns Enjoy
Health:
  • Medical/Dental/Vision
  • Premiums are 100% Company Paid
  • Health Savings Account
  • Life Insurance
  • Disability Insurance
Financial:
  • 401k Retirement Plan
  • Company Stock Options
  • Home Office Budget
Leave:
  • We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year's
  • Paid Parental Leave
Learning:
  • Reimbursement for approved trainings/subscriptions
  • Conferences (travel, lodging, and fees)

Don't have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed.
At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
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