Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Principal Data Scientist
Cheyenne, WY · On-site
$143K - $229K/yr
Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis ...
Principal Data Scientist
Cheyenne, WY · On-site
$143K - $229K/yr
Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis ...
Hourly Pooled - Student Research Assistant
Laramie, WY · On-site
$15.25 - $19.50/hr
Evaluate model performance using appropriate quantitative metrics and experimental protocols. * Assist with deployment and testing of models on edge or resource-constrained computing platforms.
Hourly Pooled - Student Research Assistant
Laramie, WY · On-site
$15.25 - $19.50/hr
Evaluate model performance using appropriate quantitative metrics and experimental protocols. * Assist with deployment and testing of models on edge or resource-constrained computing platforms.
Hourly Pooled - Student Research Assistant
Laramie, WY · On-site
$15 - $18.50/hr
Evaluate model performance using appropriate quantitative metrics and experimental protocols. * Assist with deployment and testing of models on edge or resource-constrained computing platforms.
Hourly Pooled - Student Research Assistant
Laramie, WY · On-site
$15 - $18.50/hr
Evaluate model performance using appropriate quantitative metrics and experimental protocols. * Assist with deployment and testing of models on edge or resource-constrained computing platforms.
Machine Learning Engineer
Cheyenne, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Cheyenne, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Casper, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Casper, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Cheyenne, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Cheyenne, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Laramie, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Laramie, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Laramie, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Laramie, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Casper, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Casper, WY · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Simulator Engineer
Kemmerer, WY · On-site
$141K - $212K/yr
Develop, maintain, and enhance dynamic models of reactor systems, including primary sodium coolant loops, intermediate circuits, decay heat removal systems, and associated instrumentation & control ...
Simulator Engineer
Kemmerer, WY · On-site
$141K - $212K/yr
Develop, maintain, and enhance dynamic models of reactor systems, including primary sodium coolant loops, intermediate circuits, decay heat removal systems, and associated instrumentation & control ...
Natural Resources Program Principal 2026-02122
Cheyenne, WY · On-site
$6.6K/mo
Dive into the world of 3D geological mapping and modeling as a Natural Resources Principal (ENNR10) with the Wyoming State Geological Survey (WSGS). We're seeking an inquisitive (and maybe a little ...
Natural Resources Program Principal 2026-02122
Cheyenne, WY · On-site
$6.6K/mo
Dive into the world of 3D geological mapping and modeling as a Natural Resources Principal (ENNR10) with the Wyoming State Geological Survey (WSGS). We're seeking an inquisitive (and maybe a little ...
Lead Decision Intelligence Engineer - NBA
Cheyenne, WY · On-site
$150 - $200/hr
Model Evaluation and Production Safety * Build simulation and backtesting environments to evaluate policy quality before production promotion, using historical member journey data. * Diagnose and ...
Lead Decision Intelligence Engineer - NBA
Cheyenne, WY · On-site
$150 - $200/hr
Model Evaluation and Production Safety * Build simulation and backtesting environments to evaluate policy quality before production promotion, using historical member journey data. * Diagnose and ...
Model information
See Wyoming salary details
$16.02 is the 25th percentile. Wages below this are outliers.
$9.70 - $21.28
46% of jobs
The median wage is $23.72 / hr.
$21.28 - $32.85
20% of jobs
$32.85 - $44.43
3% of jobs
$54.35 is the 75th percentile. Wages above this are outliers.
$44.43 - $56
7% of jobs
$56 - $67.58
0% of jobs
$67.58 - $79.15
7% of jobs
$79.15 - $90.72
13% of jobs
$90.72 - $102.30
2% of jobs
$102.30 - $113.87
0% of jobs
$113.87 - $125.45
1% of jobs
$125.45 - $137.02
1% of jobs
$9
$43
$137
How much do model jobs pay per hour?
As of Sep 8, 2026, the average hourly pay for model in Wyoming is $43.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $69.33 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a model, and why are they important?
To thrive as a Model, you typically need a strong physical presence, the ability to pose or walk confidently, and an understanding of industry standards, usually supported by a professional portfolio. Familiarity with photo shoot protocols, modeling agencies, and digital submission platforms is essential. Professionalism, adaptability, and strong communication skills help models stand out when working with clients and creative teams. These skills ensure a model can consistently meet diverse assignment demands and maintain a reputable, sustainable career in a competitive industry.
What are some common challenges faced by models during photo shoots and runway shows?
Models often face challenges such as maintaining energy and focus during long hours, adapting quickly to different styling, and working in varied environments that may be physically demanding. They must also interpret the creative direction of photographers or designers while projecting confidence and professionalism. Effective communication and teamwork with stylists, makeup artists, and other models are key to ensuring a successful shoot or show.
What is the difference between Model vs Data Analyst?
| Aspect | Model | Data Analyst |
|---|---|---|
| Required Credentials | Knowledge of statistical modeling, programming skills (e.g., Python, R) | Proficiency in data analysis tools, Excel, SQL, and visualization software |
| Work Environment | Often in tech, finance, or research settings focusing on building predictive models | In various industries analyzing data to inform business decisions |
| Employer & Industry Usage | Used in industries requiring predictive analytics and machine learning | Common across business, marketing, healthcare, and finance sectors |
The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.
How do you get a job as a model?
To become a model, individuals typically build a portfolio of professional photos, gain experience through local or online casting calls, and seek representation from modeling agencies. Success often depends on physical appearance, confidence, and networking within the industry, along with understanding industry standards and maintaining a professional attitude.
How much money do models get paid?
Model salaries vary widely based on experience, type of modeling, and market. Fashion models may earn from a few hundred to thousands of dollars per day, while commercial and promotional models typically earn less. Payment can be hourly, daily, or per project, and many models also receive additional compensation such as commissions or royalties.
How to get a career in modeling?
To start a career in modeling, individuals typically build a portfolio with professional photos, gain experience through local or online casting calls, and seek representation from modeling agencies. Physical appearance, confidence, and good communication skills are important, and maintaining a healthy lifestyle can enhance opportunities in the industry.
More about Model jobs
What are the most commonly searched types of Model jobs in Wyoming?
The most popular types of Model jobs in Wyoming are:
What are popular job titles related to Model jobs in Wyoming?
For Model jobs in Wyoming, the most frequently searched job titles are:
What job categories do people searching Model jobs in Wyoming look for?
The top searched job categories for Model jobs in Wyoming are:
What are popular job titles related to Model jobs in WY?
For Model jobs in WY, the most frequently searched job titles are:
Other
Re-posted 18 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020