ZipRecruiter

Log In

1

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

Direct Supply

Staff Software Engineer

Durham, NC · On-site

... automated content creation into products. • Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency. • Implement ...

Directsupply

Staff Software Engineer

Durham, NC · On-site

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products. * Drive adoption of AI-powered engineering tools (e.g., LLM ...

micro1 AI

Digital Chemistry Specialist - Remote

Cary, NC · Remote

$90 - $120/hr

Provide detailed scientific input and content to support the development and training of AI models ... Familiarity with software tools, databases, and programming languages commonly used in ...

Avalara

Solution Engineer

Durham, NC · On-site

$184K/yr

Use AI tools and automation platforms to accelerate discovery, solution design, workflow efficiency ... Collaborate with Product, Engineering, Sales, and Content teams to influence roadmap priorities and ...

Relias US

Manager, AI and Automation

Morrisville, NC · Hybrid

... engineers. The role will balance hands-on delivery with portfolio ownership, people leadership ... content extraction, knowledge retrieval, classification, workflow triage, and decision-support ...

NetApp, Inc.

Technical Writer

Morrisville, NC · On-site

$129K - $192K/yr

Refine and implement content standards and AI-enabled workflows that improve how technical ... Engineering, or a related field, or equivalent experience. The target salary range for this ...

previous page

Showing results 41-60

All JobsAi Content Engineer JobsAi Content Engineer Jobs in Raleigh, NC

Ai Content Engineer information

See Raleigh, NC salary details

$28.7K

$113.4K

$125.4K

How much do ai content engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai content engineer in Raleigh, NC is $113,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $124,400.00 per year, depending on experience, location, and employer.

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

What are the key skills and qualifications needed to thrive as an AI content engineer?

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.
What are popular job titles related to Ai Content Engineer jobs in Raleigh, NC? For Ai Content Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Content Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Content Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Content Engineer jobs? Cities near Raleigh, NC with the most Ai Content Engineer job openings:
Ai Content Engineer jobs near you

Senior Machine Learning Graphics Engineer, AI for Experiences

Nvidia

Durham, NC • On-site

$135K - $167K/yr

Full-time

Posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 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. 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is searching for a world-class engineer in graphics and AI to join our neural graphics product team. If you agree with us that the most exciting thing about the AI revolution is applying it to solve real problems, this team will be an excellent fit for you! We are passionate about applications in generative AI, gaming, augmented reality, user-generated content, computer vision, and other areas, with the goal of improving visual fidelity, gameplay, or other domains within the gaming and pro-visualization markets. Working with other teams throughout the company, you will productize promising research, as well as develop new features through your own work.

What you'll be doing:

  • Use AI for solving product problems in gaming and other interactive experiences.

  • Build upon the latest research to create new models and invent new ways of applying AI to advance neural graphics and gaming.

  • Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization.

  • Keep up with the latest AI/DL research and collaborate with diverse teams (both internal and external to NVIDIA), including AI/DL researchers, hardware architects, and software engineers.

  • Participate in technology transfers to and from teams across NVIDIA.

What we need to see:

  • Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience)

  • 12+ years of machine learning / deep learning research or work experience

  • Knowledge of application areas such as real-time computer graphics, CV, and game development.

  • Expertise with programming systems such as Python, C+, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills.

  • A proven track record of delivering complex products and technologies spanning multiple teams and functional areas.

Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Image recognition and speech recognition - GPU deep learning has provided the foundation for machines to learn, perceive, reason, and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is known as "the AI computing company."

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 20, 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

Get the full story on Breakroom

Nvidia logo

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

View All Nvidia Jobs

Apply