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Freelance Large Language Model Llm Jobs (NOW HIRING)

Compunnel

Senior AI Architect

Columbus, OH · On-site

$125K - $170K/yr

Experience designing and implementing Large Language Model (LLM) applications utilizing platforms such as OpenAI, Anthropic Claude, Gemini, or Llama. Proven experience building RAG (Retrieval ...

Xforia, Inc.

Data Scientist

... Large Language Model (LLM) solution to check coherence and consistency. Resource will also develop and modify existing models related to customer long term engagement and retention. This role will ...

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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 Jul 16, 2026, the average hourly pay for freelance large language model llm in the United States is $62.54, according to ZipRecruiter salary data. Most workers in this role earn between $60.34 and $68.27 per hour, depending on experience, location, and employer.

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 Freelance Large Language Model (LLM) professionals?

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 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 are the key skills and qualifications needed to thrive as a Freelance Large Language Model (LLM) Specialist, and why are they important?

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.
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Freelance Large Language Model Llm jobs near you
Infographic showing various Freelance Large Language Model Llm job openings in the United States as of July 2026, with employment types broken down into 8% Internship, 23% Full Time, 23% Part Time, and 46% Contract. Highlights an 69% In-person, 8% Hybrid, and 23% Remote job distribution, with an average salary of $130,079 per year, or $62.5 per hour.
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}

Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}

The Stratagem Group

Aurora, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
We offer generous relocation benefits for eligible candidates.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
Responsibilities:
Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
  • Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
  • Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
  • Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
  • Build custom applications with LLM frameworks such as LangChain, DSPy
  • Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
  • Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
  • Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Interface with both internal and external leadership to communicate technical status

Required Qualifications:
  • BS in machine learning, computer science, mathematics, or related fields.
  • 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
    • Fine-tuning foundational models
      • Steering Techniques (e.g Sparse auto encoders, representation tuning)
      • Building adapters to use foundational models (e.g. PEFT, llama factory)
    • Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
    • Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
    • Using LLM Frameworks (e.g. LangChain, DSPy)
    • Using AI APIs ( e.g AWS Bedrock, OpenAI)
    • Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
    • Developing UIs with ReAct
  • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
  • Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
  • Active TS/SCI U.S. Government Security Clearance

Preferred Qualifications:
  • MS or PhD in machine learning, computer science, mathematics, or related fields.
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following Computer Vision domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as BERT
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
  • Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

Pay Range: $180,000 - $210,000
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
The application window will close in 330 days for this position.
Location: Aurora, CO
Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.
What We Offer:
  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires an active TS/SCI U.S. Government Security Clearance.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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