1

Hourly Llm Ai Jobs (NOW HIRING)

WI · On-site

$93 - $185/hr

Experience integrating with one or more LLM/AI provider APIs (e.g., Anthropic, OpenAI, AWS Bedrock ... hourly rate or base annual full-time salary for all positions in the job grade within which this ...

Evaluate AI systems on complex personal workflows, including personal health , travel , and ... Hourly contractor . * Experts added to the project will begin in a trial period. Application ...

Experience using LLM plugins/connectors like Google Drive , Expedia , and Notion . * Heavy personal ... Hourly contractor . * Experts added to the project will begin in a trial period. Application ...

Generative AI Engineer

Buffalo, NY · On-site

$65 - $75/hr

Buffalo, NY Salary: $65.00 USD Hourly - $75.00 USD Hourly Description: Title : Generative Ai ... Experience building LLM-based applications * RAG (Retrieval-Augmented Generation) experience

Lead AI Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

AI Engineer Intern

Bellevue, WA · On-site

$82.66 - $165.31/hr

RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A Build AI-powered features for B2B SaaS ... Competitive hourly compensation * Flexible schedule (full-time summer or part-time year-round)

Senior AI Engineer

Charlotte, NC · On-site

$55 - $60/hr

The role requires strong pre-LLM experience and the ability to bridge classical ML and NLP with ... The pay range provided in this posting reflects a W2 hourly rate; other employment options may be ...

next page

Showing results 1-20

Hourly Llm Ai information

See salary details

$10

$72

$110

How much do hourly llm ai jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for hourly llm ai in the United States is $72.50, according to ZipRecruiter salary data. Most workers in this role earn between $64.66 and $82.45 per hour, depending on experience, location, and employer.

What is the difference between Hourly Llm Ai vs Data Scientist?

AspectHourly Llm AiData Scientist
Required CredentialsTypically requires AI/ML certifications, coding skills, and knowledge of language modelsRequires degrees in data science, statistics, or related fields; often includes certifications in data analysis
Work EnvironmentFreelance or contract-based, often remote, focused on AI model developmentFull-time or contract, in office or remote, focused on data analysis and insights
Employer & Industry UsageUsed by AI startups, tech companies, and research labs for language model projectsEmployed across industries like finance, healthcare, tech for data-driven decision making

Hourly Llm Ai specialists focus on developing and fine-tuning language models, often working freelance or on contract. Data Scientists analyze data to generate insights, typically in full-time roles. While both roles require technical skills, Hourly Llm Ai roles are more specialized in AI model work, whereas Data Scientists have broader data analysis responsibilities.

More about Hourly Llm Ai jobs

What cities are hiring for Hourly Llm Ai jobs?

Cities with the most Hourly Llm Ai job openings:

What are the most commonly searched types of Llm Ai jobs?

The most popular types of Llm Ai jobs are:

What states have the most Hourly Llm Ai jobs?

States with the most job openings for Hourly Llm Ai jobs include:

Infographic showing various Hourly Llm Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 48% Full Time, 46% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $150,805 per year, or $72.5 per hour.

A.I. Engineer (LLM/ RAG/ AI/ML with Security Clearance

Fort George G Meade, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Senior AI Engineer (LLM / RAG / AI/ML)
Location: Fort Meade, MD (Onsite)
Clearance: TS/SCI with Full Scope Polygraph Apply Now!
or Contact Recruiter: Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ We are seeking a Senior AI Engineer to support advanced AI and emerging technology initiatives, focusing on building and deploying cutting-edge AI/ML solutions. This role emphasizes Large Language Models (LLMs), data engineering, and scalable AI architectures in a secure, mission-driven environment.
This is a highly technical, hands-on role ideal for engineers with strong software engineering foundations and experience operationalizing AI/ML capabilities. Key Responsibilities Design, develop, and maintain AI/ML solutions supporting advanced analytics and automation efforts
Build and optimize LLM orchestration frameworks integrating multiple AI components
Develop systems combining RAG (Retrieval-Augmented Generation), static analysis tools, and automated testing pipelines
Engineer data pipelines to ingest, clean, transform, and vectorize structured and unstructured data
Fine-tune and optimize Large Language Models (LLMs) for specialized use cases
Design and implement database solutions supporting vector search, metadata, and artifact storage
Support development of tools for vulnerability identification and mitigation using AI/ML techniques
Deploy and manage AI solutions within secure, containerized, and networked environments
Conduct performance tuning, scalability analysis, and system optimization
Support security assessments and ATO processes for deployed AI systems
Collaborate with cross-functional teams in an Agile development environment Required Qualifications Active TS/SCI with Full Scope Polygraph
Bachelor’s degree and 8+ years of relevant experience (or equivalent)
Strong proficiency in Python development
Hands-on experience with AI/ML systems and LLM integration
Experience building or working with RAG architectures and data pipelines
Experience with data preprocessing, transformation, and vectorization techniques
Knowledge of relational and vector databases
Experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with Agile methodologies and tools (Git, Jira, Confluence)
Strong software engineering fundamentals and experience delivering production systems Preferred Qualifications Experience with static code analyzers and automated testing pipelines
Familiarity with modern LLM tools and platforms (e.g., Claude, Codex or similar)
Experience with CI/CD pipelines and DevOps practices
Exposure to Rust or other systems-level programming languages
Experience building AI solutions in high-security or controlled environments
Knowledge of advanced AI-driven cybersecurity or vulnerability detection techniques Education Bachelor’s degree in Computer Science, Engineering, or related field
Equivalent experience may be considered Why This Role Work on next-generation AI/ML and LLM-driven systems
Direct impact on advanced analytics and security-focused AI capabilities
Highly technical environment with ownership of end-to-end AI solutions
Long-term, stable onsite opportunity in the Fort Meade market The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.