1

Freelance Large Language Model Llm Jobs (NOW HIRING)

OR · Hybrid

Demonstrated expertise in large language models (LLM) and/or vision language models (VLM). Ways to ... Stand Out from the Crowd: * Deep understanding of GPU architecture, CUDA programming, and system ...

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

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 ...

next page

Showing results 1-20

Freelance Large Language Model Llm information

See salary details

$29

$62

$71

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

As of Jun 13, 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.
More about Freelance Large Language Model Llm jobs
What cities are hiring for Freelance Large Language Model Llm jobs? Cities with the most Freelance Large Language Model Llm job openings:
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What states have the most Freelance Large Language Model Llm jobs? States with the most job openings for Freelance Large Language Model Llm jobs include:
What job categories do people searching Freelance Large Language Model Llm jobs look for? The top searched job categories for Freelance Large Language Model Llm jobs are:
Infographic showing various Freelance Large Language Model Llm job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $130,079 per year, or $62.5 per hour.
Large Language Model (LLM) AI Engineer

Large Language Model (LLM) AI Engineer

Oran, Inc.

Herndon, VA • On-site

Full-time

Posted 22 days ago


Job description

Experience Required
7+ Years Overall | 3+ Years in Generative AI / LLMs
Position Overview
We are seeking a Large Language Model (LLM) AI Engineer to design, fine-tune, evaluate, and integrate generative AI and LLM-based solutions in healthcare, scientific, and regulated environments. The ideal candidate will possess expertise in modern AI architectures, vector databases, prompt engineering, and AI governance.
Key Responsibilities
  • Design and implement generative AI and LLM solutions.
  • Fine-tune and evaluate foundation models.
  • Develop AI workflows using agentic AI frameworks.
  • Build RAG architectures and vector database integrations.
  • Develop APIs and cloud-native AI solutions.
  • Implement hallucination mitigation and AI governance controls.