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Freelance Large Language Model Llm Jobs in Silver Spring, MD

LLM Specialist

Mclean, VA · On-site

$16.50 - $21.75/hr

The LLM Specialist serves as PenFed's subject matter expert for Large Language Models (LLMs), Generative AI technologies, and emerging foundation models. This role is responsible for evaluating ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

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Freelance Large Language Model Llm information

See Silver Spring, MD salary details

$30

$64

$73

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

As of Aug 22, 2026, the average hourly pay for freelance large language model llm in Silver Spring, MD is $64.65, according to ZipRecruiter salary data. Most workers in this role earn between $62.36 and $70.58 per hour, depending on experience, location, and employer.

What is a freelance large language model llm?

Freelance Large Language Model (LLM) professionals are independent experts who work with advanced AI language models, such as OpenAI’s GPT or Google’s PaLM, to build, fine-tune, or integrate these models into various applications. They may assist clients with prompt engineering, creating chatbots, developing AI-powered tools, or consulting on best practices for using LLMs. Freelance LLM specialists often work on a project basis, offering their expertise to businesses, researchers, or startups looking to leverage the power of AI-driven language processing.

What are the key skills and qualifications needed to thrive as a freelance large language model llm?

To thrive as a Freelance Large Language Model (LLM) Specialist, you need a solid background in machine learning, natural language processing, and programming—often supported by a degree in computer science, data science, or related fields. Familiarity with frameworks and tools like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as experience with prompt engineering and model fine-tuning, is essential. Strong problem-solving abilities, effective communication, and adaptability help you stand out when collaborating with clients and addressing diverse project needs. These skills ensure you can deliver high-quality, tailored LLM solutions that meet clients' technical and business goals.

What are some common challenges faced by freelance large language model llm specialists when working with clients?

Freelance LLM specialists often encounter challenges such as clearly defining project scope, managing client expectations around model capabilities, and ensuring data privacy in client collaborations. Since clients may have varying levels of technical understanding, effective communication is key to aligning on deliverables and timelines. Additionally, freelancers must stay updated on the latest advancements in LLM technology and best practices to consistently deliver high-quality results and remain competitive in the rapidly evolving AI landscape.

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

AspectFreelance Large Language Model LlmFreelance Data Scientist
Required CredentialsKnowledge of NLP, machine learning, programming skillsStatistics, programming, data analysis
Work EnvironmentRemote, project-based, tech-focusedRemote or on-site, research and analysis-driven
Industry UsageAI development, NLP applications, tech companiesBusiness analytics, AI, finance, healthcare
Common Search/ComparisonYesYes

Freelance Large Language Model Llm specialists focus on developing and fine-tuning NLP models, often working with AI and tech companies. Freelance Data Scientists analyze data to inform business decisions across various industries. While both roles require programming and analytical skills, Llm freelancers specialize in language models, whereas Data Scientists work broadly with data analysis and insights.

What are popular job titles related to Freelance Large Language Model Llm jobs in Silver Spring, MD?

For Freelance Large Language Model Llm jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Freelance Large Language Model Llm jobs in Silver Spring, MD look for?

The top searched job categories for Freelance Large Language Model Llm jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Freelance Large Language Model Llm jobs?

Cities near Silver Spring, MD with the most Freelance Large Language Model Llm job openings:

Cloud Software Engineer AI/ML Project Top Secret/SCI w/Poly

Peraton

Laurel, MD • On-site

$146K - $234K/yr

Full-time

PTO

Re-posted 9 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 225 rated it services


Job description

Responsibilities
Are you passionate about building cutting-edge cloud solutions that support national security? Do you thrive in fast-paced, mission-driven environments? Peraton is seeking a talented and skilled Cloud Software Engineer to join our Cyber Intelligence team in Laurel, MD.
As part of a collaborative, high-impact integrated product development team, you'll work on next-generation cyber and AI/ML capabilities hosted on large-scale compute clusters and AWS Cloud infrastructure.
This is your chance to help shape innovative services that make a real difference. Interested in Artificial Intelligence and Machine Learning? If so, this is the position for you.
The Cloud Software Engineer Level 1 Engineer provides cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.
#peratonroyalmove
#ClearedRoyalty
#MDFSP
Python, Java, C, C++, Hbase, Accumulo, Big Table, Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc., Hadoop Distributed File System (HDFS), JSON and/or BSON. Taxonomy, Ontologies, and Big-Data Cloud Scalability (Amazon, Google, Facebook), cluster monitoring tools (e.g. Hobbit, Ganglia), Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow
Qualifications
Basic Qualifications:
  • A Bachelor's Degree in Computer Science or in a related technical field from an accredited college or university is highly desired which will be considered equivalent to two (2) years of experience. NOTE: A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
  • Two (2) or more years of directly related experience in software development/engineering; including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution
  • At least 2 years of experience in software development/engineering, including requirements analysis, software development, installation, evaluation, enhancement, maintenance, and problem diagnosis/resolution.
  • Have demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc.
  • Have at least one (1) year of experience developing software with high level languages such as Java, C, C++, et cetera.
  • Minimum of two (2) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts
  • An Active TS/SCI clearance with polygraph is required

Additional Desired Qualifications:
Preferred, not required, to have one of the following Cloud Developer Certifications:
    • AWS Certified Developer-Associate
    • AWS Certified Machine Learning-Associate
    • AWS Certified Machine Learning-Specialty
    • AWS Certified Machine Learning-Specialty
    • AWS DevOps Engineer Professional
    • Certified Kubernetes Application Developer (CKAD)
  • Demonstrated experience with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, and/or Big Table
  • Demonstrated experience with Map/Reduce and/or Hadoop, Hive, and/or Pig
  • Demonstrated experience with the Hadoop Distributed File System (HDFS)
  • Demonstrated experience with Big-Data Cloud Scalability (e.g. Amazon, Google, and/or Facebook)
  • Demonstrated experience designing and developing web applications with JavaScript
  • Demonstrated experience designing and developing automated analytic software, techniques, and algorithms
  • Demonstrated experience with compute cluster monitoring tools (e.g. Hobbit, Ganglia)
  • Demonstrated experience with Accumulo internals, to include configuring, tuning, and testing Accumulo in many configurations (>200 node clusters)
  • Competencies and Skills:
  • Experience with Large Language Models (LLM), Agentic AI, and Retrieval-Augmented Generation (RAG)
  • Expertise in AWS Cloud Architecture design and development
  • Proficiency in using AWS SDKs and APIs
  • Expertise in Infrastructure as Code (IaC) tools like CloudFormation or Terraform
  • Skilled in Continuous Integration, Deployment, Testing and Monitoring practices
  • Knowledge and skill in implementing and using observability tools (e.g. Elasticsearch, OpenSearch)
  • Java programming for distributed systems, with experience in networking and multi-threading
  • Agile development experience with source code management practices and tools
  • Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.g. Python, Ruby, Perl, etc.)
  • Familiarity with microservices software development techniques and container-orchestration (e.g., Kubernetes)
  • Knowledge of security and compliance best practices

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.
Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.
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
$146,000 - $234,000. 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