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Freelance Large Language Model Llm Jobs in Silver Spring, MD

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Freelance Large Language Model Llm information

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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:

Data Scientist Engineer Level 2 - AI/ML Project TS/SCI w/Poly

Peraton

Laurel, MD • On-site

$176K - $282K/yr

Full-time

PTO

Re-posted 8 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 solutions that support national security? Do you thrive in fast-paced, mission-driven environments? Peraton is seeking a talented and skilled Data Scientist Engineers to join our team in Laurel, MD.
A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
MPOJobs
#AJCM #PeratonRoyalMove
#MDFSP
Keywords: Data analysis software such as R, Python, SAS, or MATLAB, data formats (e.g., SQL tables, structured metadata, network logs), standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices); Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow
Qualifications
BASIC QUALIFICATIONS:
  • Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) and five (5) years of experience analyzing datasets and developing analytics as well as five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
  • An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
  • A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.
  • Produce data visualizations that provide insight into dataset structure and meaning
  • Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)
  • Incorporate SME input into feature vectors suitable for analytic development and testing
  • Develop Al and machine learning models to address complex problems.
  • Develop and optimize Large Language Models (LLM) for various NLP tasks and information retrieval
  • Experience with utilizing GPU-based computing resources to accelerate model training and deployment.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
  • Develop statistical tests to make data-driven recommendations and decisions
  • Develop experiments to collect data or models to simulate data when required data are unavailable
  • Develop feature vectors for input into machine learning algorithms
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
  • Oversee the development of individual analytic efforts and guide team in analytic development process

An Active TS/SCI clearance with polygraph is required
Additional Desired Qualifications:
  • AI/ML Integration: Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, agents, and agentic workflow.

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.
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
$176,000 - $282,000. 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