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Stable Diffusion Jobs (NOW HIRING)

Identify and implement state-of-the-art AI tools (e.g., Adobe Firefly, Midjourney, Stable Diffusion) to accelerate the creative production cycle. * Process Automation: Collaborate with Creative ...

Identify and implement state-of-the-art AI tools (e.g., Adobe Firefly, Midjourney, Stable Diffusion) to accelerate the creative production cycle. * Process Automation: Collaborate with Creative ...

Identify and implement state-of-the-art AI tools (e.g., Adobe Firefly, Midjourney, Stable Diffusion) to accelerate the creative production cycle. * Process Automation: Collaborate with Creative ...

Experience with ComfyUI, Stable Diffusion, Flux, or other generative AI frameworks. * Knowledge of machine learning concepts, inference optimization, and model fine-tuning. * Experience training and ...

Generative AI Architect - Remote

$64.50 - $85/hr

... E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. • Collaborate with software engineering teams to integrate generative AI ...

Identify and implement state-of-the-art AI tools (e.g., Adobe Firefly, Midjourney, Stable Diffusion) to accelerate the creative production cycle. * Process Automation: Collaborate with Creative ...

Identify and implement state-of-the-art AI tools (e.g., Adobe Firefly, Midjourney, Stable Diffusion) to accelerate the creative production cycle. * Process Automation: Collaborate with Creative ...

Experience with ComfyUI, Stable Diffusion, Flux, or other generative AI frameworks. * Knowledge of machine learning concepts, inference optimization, and model fine-tuning. * Experience training and ...

Hands-on experience with generative AI tools (Midjourney, Stable Diffusion, Firefly, Runway, or similar) and an instinct for prompt iteration * Working knowledge of Adobe Creative Suite (Illustrator ...

Experience with GenAI frameworks and components such as Hugging Face, OpenAI APIs, Llama models, Gemini, Claude, Granite, retrieval-augmented generation (RAG), and Stable Diffusion-particularly as ...

AI INTERIOR DESIGNER

New York, NY · On-site

$55K - $70K/yr

... Stable Diffusion, RunwayML, or equivalent emerging platforms. Technical Leadership & AI Integration * Collaborate with technical design teams, visualization specialists, engineers, and product ...

... Stable Diffusion, RunwayML, or equivalent emerging platforms. Technical Leadership & AI Integration * Collaborate with technical design teams, visualization specialists, engineers, and product ...

VFX AI Pipeline

Manhattan, NY · On-site

$125K/yr

Experience with ComfyUI, Stable Diffusion, Flux, or other generative AI frameworks. * Knowledge of machine learning concepts, inference optimization, and model fine-tuning. * Experience training and ...

You don't just "know" AI exists; you are actively experimenting with tools like Stable Diffusion, ComfyUI, Runway Gen-3, or Luma. You understand how to use AI for rotoscoping, texture generation ...

Experience with GenAI frameworks and components such as Hugging Face, OpenAI APIs, Llama models, Gemini, Claude, Granite, retrieval-augmented generation (RAG), and Stable Diffusion-particularly as ...

Hands-on with generative image models (GPT-Image-1, Stable Diffusion, ComfyUI). * Proficiency with automation/orchestration platforms ( n8n , Make, Zapier). * Cloud deployment experience (GCP, AWS ...

Experience with Midjourney, DALL-E, Stable Diffusion, or similar platforms * Basic HTML/CSS knowledge preferred * Understanding of design for digital marketing platforms Core Competencies * 3+ years ...

AI INTERIOR DESIGNER

New York, NY · On-site

$55K - $70K/yr

... Stable Diffusion, RunwayML, or equivalent emerging platforms. Technical Leadership & AI Integration * Collaborate with technical design teams, visualization specialists, engineers, and product ...

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Stable Diffusion information

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How much do stable diffusion jobs pay per hour?

As of Sep 2, 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 is a stable diffusion?

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 are the key skills and qualifications needed to thrive in the stable diffusion position?

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 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.

More about Stable Diffusion jobs

What cities are hiring for Stable Diffusion jobs?

Cities with the most Stable Diffusion job openings:

What are the most commonly searched types of Stable Diffusion jobs?

The most popular types of Stable Diffusion jobs are:

What states have the most Stable Diffusion jobs?

States with the most job openings for Stable Diffusion jobs include:

Infographic showing various Stable Diffusion job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $65,659 per year, or $31.6 per hour.

Senior Creative Project Manager

hhglobal

New York, NY • On-site

$150K - $170K/yr

Full-time

Re-posted 18 days ago


Job description

Purpose of the Job 

HH Global is seeking a high-calibre Senior Creative Project Manager to spearhead an "always-on" creative production engine dedicated to a premier global technology client in the AI space. This role is embedded within a high-performance "Production Hub," where you will lead the end-to-end execution of world-class digital assets while navigating the complexities of a fast-paced, digital-first environment.

The ideal candidate is a strategic operational leader who can "stitch things together" even when briefs aren't fully baked, balancing conceptual brilliance with technical precision. You will be a champion of innovation, specifically integrating generative AI and automation tools into the creative workflow to maximize scalability across global markets.

Key Responsibilities

1. High-Volume Digital Asset Production

  • Omnichannel Execution: Oversee the end-to-end production of high-volume digital static and video assets, including social media content, display ads, and rich media.

  • Quality Assurance: Define and enforce strict technical quality standards and brand compliance for all content outputs.

  • Technical Stewardship: Translate creative concepts into actionable technical specifications for designers, motion artists, and editors.

2. Client Stakeholder Engagement & Management

  • Strategic Partnership: Serve as the primary production point of contact for global marketing teams and regional PMMs, providing regular updates on project status and risk mitigation.

  • Expectation Management: Confidently present production strategies and timelines to senior stakeholders, managing complex feedback cycles across multiple time zones.

  • Resource Alignment: Partner with internal leads to ensure team utilization is optimized and project pipelines are prioritized based on business impact.

3. Localization & Version Management

  • Global Scaling: Manage the simultaneous launch of assets across 20+ markets and 20+ languages, ensuring cultural relevance and linguistic accuracy.

  • Workflow Systems: Oversee the "copy trix" process and technical adaptation of assets, managing thousands of versions with meticulous attention to detail.

  • Asset Governance: Maintain the Digital Asset Management (DAM) system, ensuring all localized versions are correctly tagged, organized, and easily accessible.

4. AI & Automation Integration

  • Efficiency Innovation: Identify and implement state-of-the-art AI tools (e.g., Adobe Firefly, Midjourney, Stable Diffusion) to accelerate the creative production cycle.

  • Process Automation: Collaborate with Creative Technologists to automate repetitive tasks like resizing, localization, and dynamic content generation using scripting and APIs.

  • Performance Iteration: Leverage data-driven insights to iterate on AI-generated creative, focusing on high-performing elements like hooks and calls-to-action.

Knowledge, Skills + Experience 

  • Experience: 7–10+ years of progressive creative production leadership within a fast-paced agency or in-house studio serving global tech brands.

  • Technical Proficiency: Deep understanding of the entire video and digital production workflow, from pre-production through final delivery.

  • AI Aptitude: Demonstrated confidence in integrating emerging AI and generative tools into commercial production workflows.

  • Regional Expertise: Proven track record of managing complex multi-market campaigns, particularly across EMEA, US, and LATAM markets.

  • Communication: Exceptional written and verbal communication skills; ability to articulate complex production needs to non-technical stakeholders.

For New York applicants: The salary range for this position is $150,000 to $170,000 annually. Actual compensation packages are based on a variety of factors that are unique to each candidate, including skill set, experience, certifications and work location. This range may be different in other locations due to differences in the cost of labor.  

The total compensation package for this position may also include annual performance bonus targets, benefits and/or other applicable incentives.  

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