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Freelance Artificial Intelligence Engineer Jobs in Raleigh, NC

Senior Site Reliability Engineer - HPC

Durham, NC · On-site

$55 - $73.25/hr

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ... We're looking for a Senior SRE to join our Compute Farm team and help build the next generation of ...

Software Infrastructure Engineer

Durham, NC · On-site

$167K - $198K/yr

The Software Infrastructure Engineer will design and optimize infrastructure for autonomous systems ... BotBuilt is a software company that develops robotic systems and artificial intelligence solutions ...

Cyber Manager - AI SOC

Raleigh, NC · On-site

$107K - $145K/yr

Experience with frameworks or tools that support artificial intelligence-enabled engineering workflows * Relevant industry certifications such as Security+, Global Information Assurance Certification ...

Electrical Design Engineer

Durham, NC · On-site

$110K - $200K/yr

Job Title: Electrical Design Engineer Our growing RTP office is looking for an experienced ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Computer Vision and Optimization Engineer

Durham, NC · On-site

$107K - $127K/yr

They are seeking a Computer Vision and Optimization Engineer to design and optimize computer vision ... BotBuilt is a software company that develops robotic systems and artificial intelligence solutions ...

We are now looking for a Senior ASIC Power Engineer! NVIDIA is seeking extraordinary power ... Background in computer architecture Artificial intelligence, the dream of computer scientists for ...

Product Quality Engineer Partner with design, manufacturing, and supply chain teams to ensure the ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

AI Solutions Engineer

Raleigh, NC · On-site

$121K - $173K/yr

The AI Solutions Engineer will own technical delivery from solution design through deployment ... If you are passionate about artificial intelligence and enjoy solving complex technical challenges ...

The AI Solutions Engineer will own technical delivery from solution design through deployment ... If you are passionate about artificial intelligence and enjoy solving complex technical challenges ...

The AI Solutions Engineer will own technical delivery from solution design through deployment ... If you are passionate about artificial intelligence and enjoy solving complex technical challenges ...

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures?

Experience aligning Product, Engineering, Data, and team members around platform architecture. * Experience integrating artificial intelligence capabilities into enterprise systems. * Demonstrated VP ...

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Hardware Design Engineer We are seeking a highly proficient Hardware Design Engineer to join our ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Freelance Artificial Intelligence Engineer information

See Raleigh, NC salary details

$14

$46

$128

How much do freelance artificial intelligence engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for freelance artificial intelligence engineer in Raleigh, NC is $46.32, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $60.00 per hour, depending on experience, location, and employer.

Can a freelance artificial intelligence engineer do freelancing?

Yes, a freelance artificial intelligence engineer can work independently on projects for clients, often utilizing skills in machine learning, data analysis, and programming. Freelancers typically manage their own schedules, set rates, and may need certifications or a strong portfolio to attract clients.

What is a freelance artificial intelligence engineer?

Freelance artificial intelligence (AI) engineers are independent professionals who design, develop, and implement AI solutions for clients on a project or contract basis rather than as full-time employees. They typically work with machine learning, deep learning, natural language processing, and related technologies to solve specific business problems. Freelance AI engineers may collaborate with companies across various industries, offering expertise in building predictive models, automating processes, and analyzing large datasets. Their flexible work arrangements allow businesses to access specialized AI skills without long-term commitments. They often manage their own schedules, client relationships, and project deliverables.

Is a freelance artificial intelligence engineer still in demand?

Yes, freelance artificial intelligence engineers are in demand due to the growing adoption of AI across industries such as healthcare, finance, and technology. Skills in machine learning, data analysis, and programming languages like Python are highly valued, and remote freelance opportunities continue to expand as companies seek specialized AI expertise.

How do freelance artificial intelligence engineers typically collaborate with clients and other team members on projects?

Freelance Artificial Intelligence Engineers often work remotely and collaborate with clients and multidisciplinary teams using digital communication tools like Slack, Zoom, and project management platforms. They usually participate in regular virtual meetings to discuss project requirements, share progress updates, and troubleshoot challenges. Effective communication and clear documentation are key, as freelancers must ensure alignment on project goals and deliverables while managing their own schedules. Additionally, they may collaborate with data scientists, software developers, and product managers to integrate AI models into broader applications.

What are the key skills and qualifications needed to thrive as a freelance artificial intelligence engineer, and why are they important?

To thrive as a Freelance Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and demonstrated project experience. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, along with certifications like TensorFlow Developer or AWS Machine Learning if possible. Excellent problem-solving, communication, and self-management skills help you deliver projects independently and collaborate effectively with clients. These skills and qualities are crucial for building robust AI solutions, meeting client expectations, and succeeding in a dynamic freelance environment.

What is the difference between Freelance Artificial Intelligence Engineer vs Data Scientist?

AspectFreelance Artificial Intelligence EngineerData Scientist
CredentialsTypically requires degrees in computer science, AI, or related fields; certifications in AI/ML are commonRequires degrees in statistics, data analysis, or related fields; certifications in data analysis or ML are common
Work EnvironmentFreelance projects, remote or on-site, working with clients across industriesUsually employed full-time in organizations or consulting firms, working with large datasets
Employer & Industry UsageUsed by startups, tech companies, and consulting clients for AI solutionsEmployed in finance, healthcare, tech, and research sectors for data analysis and insights

While both roles involve working with data and machine learning, Freelance Artificial Intelligence Engineers focus on developing AI solutions for clients on a project basis, often requiring self-management and diverse project scopes. Data Scientists analyze data to extract insights, typically within organizations. The roles overlap in skills but differ mainly in work setting and project structure.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Raleigh, NC?

The most popular types of Artificial Intelligence Engineer jobs in Raleigh, NC are:

What are popular job titles related to Freelance Artificial Intelligence Engineer jobs in Raleigh, NC?

For Freelance Artificial Intelligence Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Freelance Artificial Intelligence Engineer jobs in Raleigh, NC look for?

The top searched job categories for Freelance Artificial Intelligence Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Freelance Artificial Intelligence Engineer jobs?

Cities near Raleigh, NC with the most Freelance Artificial Intelligence Engineer job openings:

Infographic showing various Freelance Artificial Intelligence Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $96,454 per year, or $46.4 per hour.

Senior Site Reliability Engineer - HPC

Nvidia

Durham, NC • On-site

$55 - $73.25/hr

Full-time

Re-posted 18 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

We're looking for a Senior SRE to join our Compute Farm team and help build the next generation of our global services platform. At NVIDIA, you'll keep critically important systems running while working on the technologies that are redefining computing. You'll harness the power of AI to deliver groundbreaking solutions to some of the world's toughest problems-and see your work have real, lasting impact!

What you'll be doing:

  • Own SRE solutions endtoend, from design and implementation to operation and continuous improvement, ensuring they integrate cleanly with HPC schedulers, storage, and network fabrics.

  • Use IaC(InfrastructureasCode) and config management to standardize and automate provisioning everywhere.

  • Deliver solutions in a globally distributed, multicloud hybrid environment - Onprem, AWS, GCP, and OCI.

  • Design for failure with redundancy, failure domains, progressive delivery, and strict change control.

  • Ensure the highest level of uptime and Quality of Service (QoS) for internal customers through operational excellence.

  • Conduct capacity management and planning to meet ongoing operational needs.

  • Detects performance issues and recommends solutions to maintain worldclass service quality.

  • Collaborate with various teams in a fastpaced environment to ensure seamless project completion.

  • Participate in on-call, incident reviews, assist in root cause identification, and produce high-quality RCA reports.

What we need to see:

  • B.S. degree in Computer Science or related technical field (or equivalent experience) with 5+ years professional experience building and supporting critical services.

  • Experience supporting largescale HPC clusters using Slurm, LSF or Kubernetes clusters, including setup, tuning, and troubleshooting.

  • Proficiency in modern CI/CD techniques, and Infrastructure as Code (IaC) for managing services.

  • Strong experience crafting large-scale infrastructure platforms for automated host lifecycle management, fleet reliability/auto-healing, E2E observability or data-driven operations (AIOps/ML-driven signals) that materially reduce manual intervention.

  • Proficient in monitoring, metrics, container management, and log collection tools.

  • 5+ years of coding/scripting experience in at least two highlevel programming languages such as Python, Go, Perl, or Ruby.

  • Mentored other engineers and influenced technical direction through design reviews, architecture documents, and strong partnership with product and leadership.

  • Creative problem solver with excellent debugging skills and strong communication and documentation abilities.

Ways to stand out from the crowd:

  • Published technical writeups or talks (conference presentations, meetups, engineering blogs) that deepdive into realworld reliability, observability, or largescale HPC/SRE problems and their solutions.

  • Maintainer or comaintainer responsibilities for an open source component used in production (plugins, operators, exporters, controllers, or SDKs) at large scale.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993