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Ai Model Jobs in Raleigh, NC (NOW HIRING)

Ccube

AI & ML Tech Lead/Architect

Durham, NC · On-site

$150K - $225K/yr

Raleigh, NC (Hybrid) Job Type: Full Time/W2 Only Exp Level- 8-15 Years Required Skills- Claude, Vibe Coding, Data Scientist, MCP ( Model Context Protocol ), Agentic AI, LLM understanding, RAG.

CCube Solutions

AI & ML Tech Lead/Architect

Raleigh, NC · On-site

$150K - $225K/yr

Raleigh, NC (Hybrid) Job Type: Full Time/W2 Only Exp Level- 8-15 Years Required Skills- Claude, Vibe Coding, Data Scientist, MCP ( Model Context Protocol ), Agentic AI, LLM understanding, RAG.

micro1 AI

Legal AI Trainer - Remote

Raleigh, NC · Remote

$80 - $105/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

micro1 AI

Legal AI Trainer - Remote

Durham, NC · Remote

$80 - $105/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Raleigh, NC · Remote

$80 - $105/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Durham, NC · Remote

$80 - $105/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Working as part of the AI & Data Team, the analyst will help design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools -- with a strong emphasis on SAS Viya for ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$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 ...

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All JobsAi Model JobsAi Model Jobs in Raleigh, NC

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 job categories do people searching Ai Model jobs in Raleigh, NC look for? The top searched job categories for Ai Model jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Model jobs? Cities near Raleigh, NC with the most Ai Model job openings:
Ai Model jobs near you

AI & ML Tech Lead/Architect

Ccube

Durham, NC • On-site

$150K - $225K/yr

Full-time

Posted 20 days ago

Job description

Position:- AI & ML Tech Lead
Location: Raleigh, NC (Hybrid)
Job Type: Full Time/W2 Only
Exp Level- 8-15 Years
Required Skills- Claude, Vibe Coding, Data Scientist, MCP (Model Context Protocol), Agentic AI, LLM understanding, RAG. Architecture end to end, built systems.
We are seeking a highly skilled AI/ML Leader with a strong foundation in Python and microservices architecture, who can bridge the gap between traditional backend systems and modern AI/ML platforms. The ideal candidate will have experience or a strong interest in LLM-based frameworks (e.g., LangChain, Agentic AI), and be capable of designing scalable, intelligent solutions that integrate with major AI platforms.
Key Responsibilities:
Architect and design scalable, secure, and high-performance microservices using Python.
Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
Understand and work with MCP (Model Context Protoco), A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.
Evaluate and recommend AI platforms and tools for enterprise use cases.
Translate business requirements into technical solutions that leverage both traditional and AI-driven components.
Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.
Ensure architectural alignment with enterprise standards and best practices.
Required Skills & Experience:
5+ years of experience in backend development with Python.
Proven experience designing and deploying microservices architectures.
Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks.
Experience integrating with AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face).
Strong understanding of API design, event-driven systems, and cloud-native architectures.
Excellent communication and stakeholder management skills.
Production-level RAG implementation experience.
Hands-on experience with LLM-based applications or AI agent frameworks.
Exposure to MCP, A2A, or similar AI infrastructure concepts.
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
Knowledge of data pipelines and AI model lifecycle management
Nice-to-Have / Big Plus:
  • Experience with MCP, A2A, or similar AI infrastructure concepts
  • Knowledge of data pipelines & AI model lifecycle management
  • Prior experience architecting enterprise AI platforms
Why Join Us?
  • Work on real production AI systems, not just POCs
  • Design next-gen Agentic & LLM-powered architectures
  • High ownership, high impact role
  • Flexible Hybrid setup
  • Collaborate with strong engineering & AI talent

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