2

Remote Ai Developer Jobs in North Carolina (NOW HIRING)

Description PRINCIPAL AGENTIC AI ARCHITECT Duration- 1 year contract 100% remote **Cannot provide ... AI Engineering Lead • Principal AI Developer • Intelligent Automation Architect Skills ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Collaborate with the DS team to develop a self-service internal developer AI platform. * Provide ...

$79 - $85/hr

We are seeking an experienced AI Engineer to join our multidisciplinary team and play a key role in ... hours and remote work options. Employer Details Galore Creative Staffing offers competitive ...

Staff AI Engineer, GenAI

Concord, NC · On-site +1

$200K - $230K/yr

Define and implement CI/CD pipelines for GenAI and ML services, using GitHub Actions/Azure DevOps, ... This information is applicable for all full-time positions. #LI-SS2 #LI-Remote We follow a Flexible ...

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 ...

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 ...

next page

Showing results 1-20

Remote Ai Developer information

See North Carolina salary details

$36.4K

$117.6K

$144K

How much do remote ai developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote ai developer in North Carolina is $117,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $142,700.00 per year, depending on experience, location, and employer.

What is a remote AI developer?

Remote AI Developers are software professionals who design, build, and implement artificial intelligence solutions while working from locations outside of a traditional office, such as their home or a co-working space. They collaborate with teams virtually to develop machine learning models, automate processes, and create intelligent applications. Their responsibilities often include data analysis, training algorithms, and deploying AI models, all conducted using remote communication and project management tools. This role requires strong programming skills, knowledge of AI frameworks, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote AI developer?

To thrive as a Remote AI Developer, you need strong programming skills (especially in Python), deep knowledge of machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set outstanding candidates apart. These competencies ensure you can build robust AI solutions independently, collaborate seamlessly with distributed teams, and adapt to rapid technological advancements.

What are some common challenges remote AI developers face when collaborating with distributed teams, and how can they address them?

Remote AI Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication, and maintaining alignment on project goals. To address these issues, it's important to establish regular check-ins, use collaborative tools for code sharing (like GitHub) and documentation (such as Confluence), and actively participate in virtual meetings. Staying proactive about communication and documentation helps ensure smooth collaboration and keeps everyone on the same page, regardless of location.

What is the difference between Remote Ai Developer vs Data Scientist?

AspectRemote Ai DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, startups, remote teams focused on AI projectsResearch firms, tech companies, analytics teams, often remote or on-site
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Remote AI Developers focus on building and implementing AI models and algorithms, often working on software development projects. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require programming skills and knowledge of machine learning, AI Developers are more involved in creating AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Ai Developer jobs in North Carolina?

The most popular types of Ai Developer jobs in North Carolina are:

What are popular job titles related to Remote Ai Developer jobs in North Carolina?

For Remote Ai Developer jobs in North Carolina, the most frequently searched job titles are:

What cities in North Carolina are hiring for Remote Ai Developer jobs?

Cities in North Carolina with the most Remote Ai Developer job openings:

Infographic showing various Remote Ai Developer job openings in North Carolina as of August 2026, with employment types broken down into 5% Internship, 69% Full Time, 6% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,552 per year, or $56.5 per hour.

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).