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Remote Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

... optimize AI infrastructure, working with server, cloud, and platform engineering teams ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

micro1 AI

Engineering AI Evaluator (PhD)

Raleigh, NC · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

DataAnnotation

Security Engineer - AI Trainer

Raleigh, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

DataAnnotation

Security Engineer - AI Trainer

Cary, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

DataAnnotation

Security Engineer - AI Trainer

Durham, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

BitSight

AI Marketing Systems Engineer

Raleigh, NC · Remote

Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote BitSight is seeking an AI Marketing Systems Engineer to build, administer, and scale the systems ...

DataAnnotation

SDLC Engineer - AI Trainer

Raleigh, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

SDLC Engineer - AI Trainer

Durham, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

SDLC Engineer - AI Trainer

Cary, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

micro1 AI

AI Code Evaluator - SecOps & Systems

Raleigh, NC · Remote

$100 - $230/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for ...

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Remote Ai Engineer information

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How much do remote ai engineer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for remote ai engineer in Raleigh, NC is $52.13, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $60.53 per hour, depending on experience, location, and employer.

What is a Remote AI Engineer job?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a Remote AI Engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the key skills and qualifications needed to thrive in the Remote Ai Engineer position, and why are they important?

To thrive as a Remote AI Engineer, you need a strong background in machine learning, deep learning, programming (Python, TensorFlow, PyTorch), and a relevant degree in computer science or a similar field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), version control systems like Git, and relevant certifications (e.g., AWS Certified Machine Learning) are beneficial. Excellent problem-solving skills, self-motivation, clear communication, and the ability to collaborate in a distributed team set exceptional candidates apart. These competencies are crucial for effectively building, deploying, and maintaining AI solutions in a remote, fast-paced environment.

What are the most commonly searched types of Ai Engineer jobs in Raleigh, NC? The most popular types of Ai Engineer jobs in Raleigh, NC are:
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Remote Ai Engineer jobs near you
Infographic showing various Remote Ai Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $108,438 per year, or $52.1 per hour.

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Posted yesterday

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.

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