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Stable Diffusion Jobs (NOW HIRING)

Noblesoft Technologies

Gen AI Architect

Pleasanton, CA · Remote

Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies. * Lead the development of custom LLM applications , including prompt engineering ...

Pure Imagination Management LLC

UI/UX Lead

Salina, KS · On-site

$120K/yr

Collaborates with cross-functional teams to build intelligent utilities, prompt systems, and automation pipelines using platforms like GPT, Stable Diffusion, and Whisper. Evaluates emerging tools ...

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How much do stable diffusion jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for stable diffusion in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by Stable Diffusion Engineers in their daily work?

Stable Diffusion Engineers often encounter challenges such as fine-tuning models to balance image quality and computational efficiency, troubleshooting issues with training data consistency, and managing large-scale GPU resources. Collaborating closely with data scientists, artists, and software engineers is essential to ensure that generated images meet project requirements and stakeholder expectations. Additionally, staying current with rapid advancements in generative AI and deep learning techniques is a regular part of the role. These challenges make the position dynamic and rewarding for those who enjoy problem-solving and working on cutting-edge technology in a collaborative environment.

What are the key skills and qualifications needed to thrive in the Stable Diffusion position, and why are they important?

To excel as a Stable Diffusion Engineer or Specialist, you need a strong background in machine learning, computer vision, and programming, typically supported by experience with deep learning frameworks and image generation models. Familiarity with tools such as Python, TensorFlow or PyTorch, and specific Stable Diffusion model architectures is commonly expected, along with relevant certifications in AI or data science. Problem-solving skills, creativity, and effective collaboration are key soft skills that help address complex image generation tasks and foster innovation within interdisciplinary teams. These abilities are essential for successfully implementing and optimizing diffusion models in real-world applications, ensuring impactful results and project success.

What is a Stable Diffusion job?

A Stable Diffusion job typically involves working with AI-powered image generation models, such as Stable Diffusion, to create, fine-tune, or optimize digital artwork and visual content. Responsibilities may include training models, improving prompt engineering, enhancing image quality, and integrating AI-generated visuals into various applications. Roles in this field can range from machine learning engineers and prompt engineers to digital artists and researchers. Skills in Python, deep learning frameworks, and image processing are often valuable.

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Stable Diffusion jobs near you
Gen AI Creative Engineer - New York

Gen AI Creative Engineer - New York

Photon

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Job Description
What You'll Do:
  • Generate high-quality visuals, design concepts, and experience mockups using tools like Midjourney, DALL• E, Stable Diffusion, and Runway ML.
  • Prototype interactive experiences, brand moments, or UI/UX flows using tools such as Figma, Webflow, Framer, or HTML/CSS/JS.
  • Collaborate with cross-functional teams including product designers, brand creatives, and engineers to bring AI-assisted concepts to life.
  • Iterate rapidly - test, refine, and evolve concepts using AI tools and traditional design methods.
  • Explore & innovate: Push the capabilities of AI to explore new visual languages, interaction paradigms, and storytelling formats.
  • Document your process and learnings to help build scalable workflows and design systems infused with AI capabilities.
  • Stay ahead of trends in generative design, AI tooling, and prototyping best practices.

What You Bring:
  • 3-6 years of experience in digital/visual/product design, creative technology, or a related field.
  • A strong portfolio showcasing AI-generated work and rapid prototyping examples.
  • Mastery of generative AI tools (e.g. Midjourney, DALL• E, Runway, Stable Diffusion, ChatGPT for ideation/scripting).
  • Solid skills in visual design and UX/UI principles.
  • Experience with Figma, Framer, Webflow, or front-end tools for prototyping.
  • Curiosity, adaptability, and a love for experimentation.
  • Ability to work in a fast-paced, exploratory environment with shifting priorities.

Nice-to-Have:
  • Experience with creative coding (e.g. p5.js, Three.js) or scripting in Python/JavaScript.
  • Motion design or 3D prototyping skills (e.g. Blender, After Effects, Spline).
  • Familiarity with fine-tuning AI models or working with APIs (OpenAI, Stability, etc.).
  • Previous work in innovation labs, R&D, or startup environments.

Compensation, Benefits and Duration
Minimum Compensation: USD 52,000
Maximum Compensation: USD 182,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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