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Stable Diffusion Jobs in Texas (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$90 - $125/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Generative AI solutions (GPT, Claude, Stable Diffusion)Predictive AI models (regression, classification, clustering)NLP and Computer Vision applicationsBuild intelligent AI agents and agentic ...

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 ...

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 ...

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 ...

Use of ai tools such as Midjourney, DALL-E, Stable Diffusion, Firefly Travel Requirements * Limited Travel might be required for company events Physical Requirements While performing the duties of ...

Showing results 21-25

Stable Diffusion information

See Texas salary details

$12

$29

$50

How much do stable diffusion jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for stable diffusion in Texas is $29.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $37.64 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?

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?

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.

Infographic showing various Stable Diffusion job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $61,171 per year, or $29.4 per hour.

Data Scientist

Capgemini

Dallas, TX • On-site

$90 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 223 rated it services


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.LocationDenver COYour RoleThe GenAI Engineer / Data Scientist role focuses on developing, deploying, and scaling Generative AI and Predictive AI solutions that drive business value. The position combines expertise in AI/ML, APIs, cloud platforms, data engineering, MLOps, and agentic AI workflows to build production-ready AI applications and automation solutions.Key ResponsibilitiesAI & Machine Learning DevelopmentDevelop and deploy:Generative AI solutions (GPT, Claude, Stable Diffusion)Predictive AI models (regression, classification, clustering)NLP and Computer Vision applicationsBuild intelligent AI agents and agentic workflows to automate business processes.Implement Retrieval-Augmented Generation (RAG) and multimodal AI solutions.Application Architecture & API IntegrationDesign AI-enabled applications and integrations using:REST APIsJSON servicesAuthentication and TokensHTTP protocols and API endpointsHandle API security, rate limiting, debugging, error handling, and documentation.Model Deployment & MLOpsDeploy AI models into production environments.Monitor model performance, scalability, and reliability.Required Skills and ExperienceBachelor's degree or higher in AI, Machine Learning, Computer Science, or a related field.3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.Experience deploying and managing production AI solutions with MLOps practices.Ideal CandidateA hands-on GenAI Engineer/Data Scientist with strong expertise in Generative AI, LLMs, AI agents, Python, SQL, cloud platforms, MLOps, APIs, and data engineering, capable of building and operating enterprise-scale AI solutions from development through production deployment.The base compensation range for this role in the posted location is $90,000- $125,000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. #J-18808-Ljbffr

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