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Remote Large Language Model Llm Jobs (NOW HIRING)

Peraton

Large Language Model Specialist

$104K - $166K/yr

Responsibilities The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads ...

eSimplicity

LLM Specialist

Columbia, MD · On-site +1

$104K - $145K/yr

Experience designing, developing, integrating, and supporting Large Language Model (LLM) and ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Oxford Global Resources

AI Architect

OR · Remote

Artificial and Large Language Model Architect As an AI & LLM Architect , you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large ...

Aston Carter

Controller (100% Remote)

Manhattan, NY · On-site +1

$75/hr

Test and review outputs generated by AI and Large Language Model (LLM) technologies. What We're ... Ability to work independently in a fully remote environment. * Basic familiarity with AI, ChatGPT ...

TCG

AI Platform Architect-4196475

Washington, DC · Remote

$170K - $185K/yr

This is a primarily remote position but will require occasional onsite meetings in Washington, DC ... Build and optimize Large Language Model (LLM) and Generative AI applications. * Owns target ...

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How much do remote large language model llm jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

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Remote Large Language Model Llm jobs near you
Infographic showing various Remote Large Language Model Llm job openings in the United States as of September 2026, with employment types broken down into 49% Full Time, 13% Part Time, and 38% Contract. Highlights an 100% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

Large Language Model Specialist

Remote

Peraton
IT Services • 10K+ employees
Learn more about Peratonexternal

$104K - $166K/yr

Full-time

Posted 15 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

Job description

Responsibilities
The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning, retrieval-augmented generation (RAG), agentic frameworks, and domain-specific model adaptation. The specialist will guide the development of high-impact prototypes, oversee the evolution of scalable LLM pipelines, and ensure robust governance, security, and performance across all model implementations. Partnering with engineering, product, and data teams, this position provides technical leadership, evaluates emerging LLM technologies, sets best practices, and helps drive transformation through the practical, safe, and effective deployment of generative AI.
Qualifications
Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
Required Skills:
  • Deep expertise in LLM architectures, transformer models, and modern generative AI techniques.
  • Demonstrated experience leading fine-tuning efforts, parameter-efficient training, and advanced prompt engineering.
  • Proven ability to design and implement end-to-end RAG pipelines, including embedding workflows, retrieval optimization, and vector database integrations.
  • Hands-on experience with one or more LLM frameworks or orchestration toolchains (such as LangChain, LlamaIndex).
  • Strong Python development skills and experience with distributed compute or GPU-accelerated training environments.
  • Experience architecting and deploying AI/ML or LLM workflows within cloud platforms such as Azure, AWS, or GCP.
  • Solid understanding of MLOps/LLMOps practices, including versioning, CI/CD, automated testing, monitoring, and model governance.
  • Ability to lead technical discussions, mentor team members, and communicate complex AI concepts to diverse audiences.
  • Ability to obtain/maintain a Public Trust clearance

Preferred Skills:
  • Experience implementing multi-agent or agentic AI systems for task automation and reasoning.
  • Familiarity with LLM evaluation frameworks, structured benchmarking, or human-in-the-loop refinement methods (e.g., RLHF-style workflows).
  • Expertise with advanced retrieval techniques such as hybrid search, graph retrieval, or long-context optimization.
  • Experience optimizing model inference through quantization, model compression, or model distillation.
  • Background integrating LLM services with large-scale analytics environments (e.g., Databricks, Snowflake, Spark).
  • Strong skills in exploratory data analysis, feature engineering, and data modeling to support domain-specific LLM customization.
  • Experience developing innovative prototypes or POCs that leverage state-of-the-art generative AI approaches.
  • Exposure to emerging architectures such as mixture-of-experts models, long-context transformers, or experimental generative frameworks.

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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