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Ai Model Jobs in Raleigh, NC (NOW HIRING)

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback ... Maintain observability across AI systems through logging, metrics, performance monitoring, alerting ...

Physician - AI Trainer

Cary, NC · Remote

$50 - $60/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Physician - AI Trainer

Durham, NC · Remote

$50 - $60/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Physician - AI Trainer

Raleigh, NC · Remote

$50 - $60/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

The role involves directing AI coding agents, designing and building machine-learning models, and ensuring the delivery of production software on a regulated SaaS platform. Responsibilities : • ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

RN - AI Trainer

Durham, NC · Remote

$50 - $60/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

RN - AI Trainer

Cary, NC · Remote

$50 - $60/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on health/medical tasks that include solving challenging problems and ...

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Ai Model information

See Raleigh, NC salary details

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How much do ai model jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for ai model in Raleigh, NC is $30.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $38.08 per hour, depending on experience, location, and employer.

What job makes AI models?

Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.

How to become an AI model?

To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

How much do AI models get paid?

AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.

What are some common challenges faced by professionals working as AI Model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What are AI models?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

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

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
What are popular job titles related to Ai Model jobs in Raleigh, NC? For Ai Model jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Ai Model jobs? Cities near Raleigh, NC with the most Ai Model job openings:
Senior AI Systems Engineer

Senior AI Systems Engineer

ARA

Raleigh, NC • On-site

$92K - $126K/yr

Full-time

Re-posted 11 days ago


Job description

Essential Functions:
  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:
  • Bachelor's degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience.
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:
  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance - Active or Inactive

Education:
  • Bachelor's degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.
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.