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Hourly Ai Prompt Engineer Jobs in Raleigh, NC (NOW HIRING)

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Northern Base

AI Solution Lead

Cary, NC · On-site

... databases, prompt engineering, and context engineering ✔ Experience packaging, deploying, serving, and monitoring AI/ML models for real-time and batch inference ✔ Hands-on experience with ...

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ...

GEI Consultants

AI Engineer

Cary, NC · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ...

Accenture

Sr. Applied AI Engineer (Claude/Codex)

Raleigh, NC · On-site

$119K - $157K/yr

Minimum of 3 years of experience in AI engineering, building applications or products with strong understanding of fine-tuning, prompt engineering, and performance optimization (token utilization ...

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All JobsHourly Ai Prompt Engineer JobsHourly Ai Prompt Engineer Jobs in Raleigh, NC

Hourly Ai Prompt Engineer information

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$9

$45

$85

How much do hourly ai prompt engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for hourly ai prompt engineer in Raleigh, NC is $45.77, according to ZipRecruiter salary data. Most workers in this role earn between $34.81 and $59.13 per hour, depending on experience, location, and employer.

What is the difference between Hourly Ai Prompt Engineer vs Content Writer?

AspectHourly Ai Prompt EngineerContent Writer
Required CredentialsBasic understanding of AI, prompt engineering skillsWriting degrees or experience in content creation
Work EnvironmentRemote or office, tech-focusedRemote, marketing or publishing firms
Industry UsageAI, tech startups, automationMedia, marketing, publishing
Search & Comparison IntentUnderstanding AI prompt rolesContent creation and writing roles

The main difference is that Hourly Ai Prompt Engineers focus on designing prompts for AI models, requiring technical understanding of AI tools, while Content Writers create written content for various media. Both roles may work remotely and are in digital industries, but their core skills and objectives differ significantly.

What are the key skills and qualifications needed to thrive as an hourly AI prompt engineer, and why are they important?

To thrive as an Hourly AI Prompt Engineer, you need expertise in natural language processing, prompt design, and a strong understanding of AI model behavior, often supported by experience with computer science or linguistics. Familiarity with tools like OpenAI's GPT, prompt engineering platforms, and version control systems such as Git is typically required. Creativity, analytical thinking, and clear written communication are essential soft skills for delivering effective, context-aware prompts. These competencies ensure that AI outputs are accurate, relevant, and aligned with client or user requirements in a rapidly evolving field.

How does an hourly AI prompt engineer typically collaborate with data scientists and product teams?

As an Hourly AI Prompt Engineer, you’ll frequently work alongside data scientists to refine, test, and optimize prompts for AI models, ensuring outputs meet project requirements. You may also collaborate with product managers and user experience teams to understand end-user needs and integrate prompt solutions seamlessly into applications. Communication skills and adaptability are crucial, as you’ll often need to iterate quickly based on feedback and shifting project priorities. This collaborative environment provides valuable exposure to cross-functional workflows and can help broaden your expertise in both technical and product-focused areas.

What is an hourly AI prompt engineer?

Hourly AI Prompt Engineers are professionals who specialize in crafting, optimizing, and testing prompts to guide artificial intelligence models, such as chatbots or generative AI systems, to produce desired outputs. They are typically hired on an hourly basis and work on projects that require expertise in understanding both language and AI model behavior. Their responsibilities may include analyzing prompt effectiveness, iterating on prompt designs, and collaborating with developers or content creators to ensure AI responses are accurate and relevant. This role is crucial for organizations looking to maximize the utility and reliability of AI-powered tools.
What are the most commonly searched types of Ai Prompt Engineer jobs in Raleigh, NC? The most popular types of Ai Prompt Engineer jobs in Raleigh, NC are:
What are popular job titles related to Hourly Ai Prompt Engineer jobs in Raleigh, NC? For Hourly Ai Prompt Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Hourly Ai Prompt Engineer jobs in Raleigh, NC look for? The top searched job categories for Hourly Ai Prompt Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Hourly Ai Prompt Engineer jobs? Cities near Raleigh, NC with the most Hourly Ai Prompt Engineer job openings:
Hourly Ai Prompt Engineer jobs near you
Infographic showing various Hourly Ai Prompt Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 2% As Needed, 83% Full Time, 4% Part Time, 2% Temporary, and 9% Contract. Highlights an 65% In-person, 15% Hybrid, and 20% Remote job distribution, with an average salary of $95,205 per year, or $45.8 per hour.

AI Engineer (LLMs for Healthcare)

Keebler Health

Durham, NC • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data-driven insights. The role involves developing and fine-tuning large language models for healthcare applications, collaborating with healthcare professionals, and optimizing AI workflows.
Responsibilities:
• Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
• Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
• Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
• Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
• Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
• Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
• Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
• Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
• Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
• Deploy and monitor AI models in production environments to ensure performance and compliance.
• Optimize infrastructure for efficient training, testing, and deployment of models.
• Stay at the forefront of advancements in AI, especially in healthcare applications.
• Identify and resolve performance bottlenecks in AI workflows.
• Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.
• Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
• Communicate technical results and insights effectively to non-technical stakeholders.
Qualifications:
Required:
• Proven experience in LLM fine-tuning and advanced prompt engineering.
• Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
• Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
• Hands-on experience with retrieval-augmented generation (RAG) techniques.
• Expertise in evaluating AI models using performance metrics like precision, and recall.
Preferred:
• Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
• Understanding of healthcare data standards, including HL7 and HEDIS metrics.
• Strong problem-solving skills in integrating AI with complex healthcare datasets.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Company:
Keebler Health develops an AI-powered healthcare analytics platform focused on risk adjustment and clinical decision support. Founded in 2023, the company is headquartered in Durham, USA, with a team of 11-50 employees. The company is currently Early Stage.

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