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Stable Diffusion Jobs (NOW HIRING)

Black Forest Labs

$150K - $300K/yr

About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX-foundational technologies that changed how the world creates images and video. We're creating the generative ...

Black Forest Labs

About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX-foundational technologies that changed how the world creates images and video. We're creating the generative ...

HP IQ

Senior Digital Product Designer

San Francisco, CA · On-site

$170K - $250K/yr

Hands-on experimentation with AI technologies such as LLMs, Stable Diffusion, Midjourney, or ComfyUI * Experience designing conversational or agentic software experiences * Interest or experience in ...

McAfee

Senior AI Engineer, MarTech

Frisco, TX · On-site

$98K - $135K/yr

Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand-safe ...

AGBO Films LLC

Creative Developer

Los Angeles, CA · On-site

Utilize new cutting edge tools such as ComfyUI, Stable Diffusion, LoRA, Flux, Midjourney, ChatGPT, Dall-e, Runway * Explore and integrate the latest emerging tools and techniques that enhance our ...

AGBO

Creative Developer

Los Angeles, CA · On-site

Utilize new cutting edge tools such as ComfyUI, Stable Diffusion, LoRA, Flux, Midjourney, ChatGPT, Dall-e, Runway * Explore and integrate the latest emerging tools and techniques that enhance our ...

Black Forest Labs

$130K - $180K/yr

About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX-foundational technologies that changed how the world creates images and video. We're creating the generative ...

Adobe, Inc.

Staff AI VFX Engineer

Los Angeles, CA · On-site

Hands-on experience fine-tuning or deploying generative models (Stable Diffusion, Runway, ComfyUI, or similar). * Background in computer vision or image processing (optical flow, segmentation, depth ...

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How much do stable diffusion jobs pay per hour?

As of Jun 30, 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.

Which 3 jobs will survive AI?

Stable Diffusion professionals, such as AI model trainers, digital artists, and data annotators, are likely to continue being in demand as AI tools require human oversight, creativity, and quality control. Skills in AI ethics, domain expertise, and critical thinking will also remain valuable, as these areas are less easily automated. Jobs that involve complex problem-solving and emotional intelligence are expected to persist despite advances in AI technology.

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 job makes $10,000 a month without a degree?

In the field of AI and digital art, roles such as freelance Stable Diffusion artists or AI image generators can earn $10,000 or more per month through commissions, licensing, or project-based work. Success typically requires strong skills in AI tools, digital art, and a solid portfolio, often achieved without formal degrees but with significant experience and reputation building.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, with compensation reflecting the expertise and impact of the position.

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.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as senior software engineers, data scientists, anesthesiologists, corporate lawyers, and certain freelance consultants or contractors with in-demand skills. These positions often require advanced education, extensive experience, or certification, and may involve project-based or contract work with flexible schedules.
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Stable Diffusion jobs near you

Sr. Generative AI Architect

KaashTech LLC

Princeton, NJ • On-site

Other

Posted 20 days ago

Job description

Job Description:
The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company''s strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams.

Key Responsibilities:

  • Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
  • Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation.
  • Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
  • Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
  • Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency.
  • Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company''s AI strategy.  Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
  • Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices.
  • Establish and maintain coding and architectural standards. Experience:
  • Minimum of 7 years of experience in AI/ML architecture or a related role.
  • Proven experience in designing and deploying generative AI models and solutions.
  • Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
  • Technical Skills: Proficiency in programming languages such as Python, Java, or C++.
  • Strong understanding of machine learning algorithms, deep learning

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