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Creative Generative Ai Jobs (NOW HIRING)

Generative AI Product Owner Be part of something groundbreaking At AIG, we are making long-term ... Creative and innovative thinker Veterans are encouraged to apply. #LI-CM1 #LI-AIG #AI #GenAI ...

AI Creative Lead Key Responsibilities The Dell Creative Studio team produces breakthrough creative ... Deep, current fluency with generative AI tools across your medium - plus the craft to take their ...

Collaborate directly with generative AI music tools, evaluating outputs and providing actionable ... Partner with technical and creative teams to support key milestones, reviews, and experimentation ...

Teach practical generative AI and creative-production workflows * Lead classroom demonstrations, workshops, and project critiques * Mentor students and provide actionable feedback * Explain technical ...

AI Educator

Los Angeles, CA · On-site

$100K - $125K/yr

Deep understanding of generative AI workflows for video, creative, marketing, and advertising use cases. * Strong hands-on content creation skills across AI video, UGC, social content, and creative ...

Collaborate directly with generative AI music tools, evaluating outputs and providing actionable ... Partner with technical and creative teams to support key milestones, reviews, and experimentation ...

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Creative Generative Ai information

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$40K

$90.3K

$138K

How much do creative generative ai jobs pay per year?

As of Jul 24, 2026, the average yearly pay for creative generative ai in the United States is $90,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI development, strategy, and implementation in large organizations or tech companies, and often offer high compensation packages reflecting their seniority and impact.

Is generative AI a good career?

A career in generative AI as a creative AI specialist involves developing models that produce content such as images, text, or music, often requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with increasing demand for AI expertise across industries, offering opportunities for innovation and advancement. However, it requires continuous learning to keep up with evolving technologies and tools like neural networks and deep learning frameworks.

What is the difference between Creative Generative Ai vs Graphic Designer?

AspectCreative Generative AiGraphic Designer
CredentialsTypically no formal credentials required, but knowledge of AI tools helpfulUsually holds a degree or certification in graphic design or related field
Work EnvironmentPrimarily digital, often remote, working with AI platforms and softwareOffice or studio settings, working with clients and design software
Industry UsageUsed in tech, marketing, advertising for automated content creationUsed across advertising, branding, publishing, and media

Creative Generative Ai focuses on using AI algorithms to generate creative content automatically, while Graphic Designers apply their artistic skills to create visual designs manually. Both roles serve creative industries but differ in tools, processes, and skill requirements.

What is creative generative AI?

Creative generative AI refers to artificial intelligence systems that produce original content such as images, music, text, or videos. These models, often based on deep learning techniques like generative adversarial networks (GANs) or transformer architectures, are used by professionals to assist in creative tasks and content creation. Working in this field typically requires skills in machine learning, programming, and familiarity with AI tools and frameworks.

What are the key skills and qualifications needed to thrive as a Creative Generative AI Specialist, and why are they important?

To thrive as a Creative Generative AI Specialist, you need a strong background in computer science, machine learning, and digital art, often supported by a relevant degree or portfolio of AI-driven creative projects. Familiarity with tools like TensorFlow, PyTorch, generative adversarial networks (GANs), and creative coding platforms is typically required. Creativity, collaboration, and strong problem-solving abilities help you innovate and communicate ideas effectively within multidisciplinary teams. These skills are crucial for producing compelling AI-generated content and pushing the boundaries of technology-driven creativity.

What creative jobs is AI taking over?

AI is increasingly automating creative roles such as graphic design, content writing, video editing, and music composition. Creative professionals are now using AI tools like generative art software and language models to enhance productivity and generate ideas, which can reduce the demand for manual tasks in these fields.

What is a Creative Generative AI?

A Creative Generative AI refers to artificial intelligence systems designed to produce original content, such as images, music, text, or videos, based on patterns learned from large datasets. These AI models, like GPT or DALL-E, use deep learning techniques to generate new and unique creative works that mimic or expand upon human creativity. They are widely used in industries like art, advertising, entertainment, and design to enhance and accelerate creative processes. Creative Generative AI tools can assist professionals by automating routine tasks, providing inspiration, or even collaborating on creative projects.

How do Creative Generative AI professionals typically collaborate with designers and other creative team members?

Creative Generative AI professionals often work closely with designers, writers, and marketing teams to integrate AI-generated content into creative projects. Collaboration usually involves brainstorming sessions to align on project goals, followed by iterative development where AI models are trained or fine-tuned based on feedback from the creative team. Effective communication is key, as these professionals must translate technical possibilities into creative solutions and ensure that AI-generated outputs match the desired artistic vision. Regular feedback loops and collaborative prototyping are common, making teamwork an essential part of the role.
More about Creative Generative Ai jobs
What cities are hiring for Creative Generative Ai jobs? Cities with the most Creative Generative Ai job openings:
What states have the most Creative Generative Ai jobs? States with the most job openings for Creative Generative Ai jobs include:
Infographic showing various Creative Generative Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $90,276 per year, or $43.4 per hour.
PhD Research Intern, Generative AI - 2026

PhD Research Intern, Generative AI - 2026

Nvidia

Santa Clara, CA

Full-time

Posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 217 rated software companies


Job description

AtNVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.

TheNVIDIA Cosmos Platformenables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models.

What you'll be doing:

  • Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.

  • Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.

  • Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.

  • Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.

  • Publish research at top conferences and transfer innovations into NVIDIA products.

What we need to see:

  • Currently pursuing a PhD in CS, EE, Robotics, or related fields.

  • Strong background in generative AI, computer vision, multimodallearning, robotics, or reinforcement learning.

  • Prior publication record and research experience.

  • Strong Python and PyTorch skills.

Ways to stand out from the crowd:

  • Experience with large-scale foundation model training.

  • Research in video models, VLMs, world models, robotics, or autonomous driving.

  • Experience with distributed training, simulation, or embodied AI.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until May 31, 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


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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