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Remote Llm Engineer Intern Jobs in Reston, VA (NOW HIRING)

Green Generation

Internship Program US (Remote)

Bethesda, MD · On-site +1

$18 - $23.25/hr

... intern to develop an understanding of how to create value through reducing operating costs in ... Unique skills in energy modeling, Excel, PowerPoint, data analytics, or engineering and design are ...

YO AI Labs

GPU Programmer - Remote

Washington, DC · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security Clearance: Public ... Develop LLM-based features such as retrieval-augmented generation (RAG) with citations, text ...

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... testing AI and LLM's using tools to evaluate accuracy, bias, and reliability of AI tools and ...

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... testing AI and LLM's using tools to evaluate accuracy, bias, and reliability of AI tools and ...

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Remote Llm Engineer Intern information

See Reston, VA salary details

$14

$26

$40

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

As of Aug 25, 2026, the average hourly pay for remote llm engineer intern in Reston, VA is $26.44, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $30.00 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 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 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 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.

What are popular job titles related to Remote Llm Engineer Intern jobs in Reston, VA?

For Remote Llm Engineer Intern jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Llm Engineer Intern jobs in Reston, VA look for?

The top searched job categories for Remote Llm Engineer Intern jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Llm Engineer Intern jobs?

Cities near Reston, VA with the most Remote Llm Engineer Intern job openings:

Remote Llm Engineer Intern jobs near you
Infographic showing various Remote Llm Engineer Intern job openings in Reston, VA as of July 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 100% Remote job distribution, with an average salary of $55,000 per year, or $26.4 per hour.

AI RAN Telecommunications Engineer Intern

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

$53K - $108K/yr

Full-time, Part-time, Internship

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0246415
Location:
McLean,VA,US
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AI RAN Telecommunications Engineer Intern
The Opportunity:
Supports the development of architectural blueprints for new networks and enhancements to production networks. Applies basic principles, theories, and concepts, and limited industry knowledge. Solves routine problems of limited scope and complexity and refers more complex issues to higher levels. Works under direct supervision. Due to the nature of work performed within this facility, U.S. citizenship is required.
You Have:
  • 1+ years of experience in telecom engineering, including RAN, LTE or 5G NR, or O-RAN systems
  • Experience applying AI and ML in networking, signal processing, or automation contexts
  • Experience with tools such as Python, C/C++ TensorFlow, PyTorch, ONNX, Kubernetes, and gNB simulators, including OAI, srsRAN, or commercial stacks
  • Experience with xApps or rApps, RIC platforms, and O-RAN Alliance specs
  • Knowledge of 3GPP, CU/DU architectures, and RAN protocols, including RRC, PDCP, RLC, MAC, and PHY
  • Ability to drive collaboration across engineering and product teams
  • Scheduled to obtain a Bachelor's degree in Electrical Engineering by Spring or Fall 2027, or Spring or Winter 2028

Nice If You Have:
  • Experience with AI model deployment in low-latency or embedded environments
  • Experience with standards bodies such as 3GPP or O-RAN Alliance
  • Experience in open-source RAN or AI projects such as OSC, Nephio, or Magma
  • Possession of excellent verbal and written communication skills
  • Master's degree in EE, CS, or a related field

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $53,000.00 to $108,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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