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Ai Model Training Jobs in Utah (NOW HIRING)

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

... Model training, PII redaction solutions,promptengineering, and orchestration layers Translate real-world operational problems into automated, intelligent solutions Collaborate with Product, SRE, and ...

Implement, monitor, and improve model training processes, including domain-specific custom training * Advise on and adopt new AI frameworks and best practices to enhance the organization's AI ...

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Implement, monitor, and improve model training processes, including domain-specific custom training * Advise on and adopt new AI frameworks and best practices to enhance the organization's AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Legal AI Trainer - Remote

Provo, UT · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

... the AI models to be useful and scalable. As an Associate, you will focus on learning and ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ... source assets perform in model training and generation environments. * Studio & Portal ...

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Ai Model Training information

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

Are there any legit AI model training jobs?

Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.

Can you get paid to train AI models?

Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.

How do I become an AI model trainer?

To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.

What are the most commonly searched types of Ai Model Training jobs in Utah?

The most popular types of Ai Model Training jobs in Utah are:

What are popular job titles related to Ai Model Training jobs in Utah?

For Ai Model Training jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Ai Model Training jobs?

Cities in Utah with the most Ai Model Training job openings:

Infographic showing various Ai Model Training job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

AI DevOps Engineer

Sandy, UT • On-site

$50.25 - $68.75/hr

Full-time

Posted 26 days ago


Job description

AI DevOps Engineer - Cloud AI Platforms

At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

 

What's the role all about?

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

 
 

How will you make an impact?

 Build and scale AI-driven workflows and automation systems
 Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
 Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
 Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and orchestration layers
 Translate real-world operational problems into automated, intelligent solutions
 Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
 Improve system performance, reliability, and observability
 
 

Key Responsibilities

 Design and develop scalable backend systems for AI-powered platforms
 Build and maintain AI integrations, workflows, and automation pipelines
 Implement REST APIs, microservices, and event-driven architectures
 Work with both structured and unstructured data for AI use cases
 Contribute to CI/CD pipelines, testing, and deployment automation
 Troubleshoot and optimize production systems
 Collaborate with cross-functional teams to deliver high-quality solutions
 Contribute to reusable frameworks and engineering best practices
 
 

What we're looking for

 Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
 Experience building scalable, distributed systems in cloud environments
 Familiarity with APIs, microservices, and event-driven systems
 Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
 Experience with AWS / Azure / GCP
 Working knowledge of CI/CD, Docker, Kubernetes
 Strong problem-solving and analytical skills
 Ability to work in a fast-paced, evolving environment
 
 

Nice to have

 Experience with LLM frameworks or prompt engineering
 Knowledge of observability tools (Grafana, Prometheus, etc.)
 Experience building automation or internal platforms
 Frontend exposure (React, JavaScript)