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Training Ai Models Jobs in Utah (NOW HIRING)

Pwc

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

... 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 ...

NICE

AI DevOps Engineer

Sandy, UT

$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 ...

micro1 AI

AI Training Specialist - Physics

Provo, UT · On-site +1

$80 - $150/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

NICE

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 ...

Pattern

Junior AI Art Director (Part-Time)

Lehi, UT · On-site

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 ...

Pattern

Junior AI Art Director (Part-Time)

Lehi, UT · On-site

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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Training Ai Models information

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

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

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

Can you get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. Compensation varies based on experience, location, and the complexity of the tasks, and often involves working with labeled datasets, coding, and understanding AI frameworks.

How to become a training AI models?

To become a training AI models professional, develop strong skills in programming languages like Python, understand machine learning algorithms, and gain experience with data preprocessing and model evaluation. Familiarity with frameworks such as TensorFlow or PyTorch and a background in computer science or data science are also important. Certifications or courses in AI and machine learning can enhance your qualifications.

What job trains AI models?

A job that trains AI models is typically called an AI/ML engineer or data scientist. These roles involve developing, testing, and refining machine learning algorithms using programming skills in languages like Python and tools such as TensorFlow or PyTorch. They often require knowledge of data preprocessing, model evaluation, and experience with large datasets.

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

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

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

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

What job categories do people searching Training Ai Models jobs in Utah look for?

The top searched job categories for Training Ai Models jobs in Utah are:

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

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

Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Utah as of August 2026, with employment types broken down into 63% Full Time, 21% Part Time, and 16% Contract. Highlights an 57% In-person, and 43% Remote job distribution.

AI Specialist

BLACK DIAMOND EQUIPMENT LTD

Salt Lake City, UT • On-site

$90 - $130/hr

Other

Posted 6 days ago

Job description

Job Details

Location: SALT LAKE CITY, UT 84124

The AI Specialist is responsible for leveraging advanced artificial intelligence tools and methodologies to analyze sales, customer, operational, and market data to identify actionable business opportunities. This role serves as a cross-functional subject matter expert (SME), partnering with organizational leaders to design, implement, and scale AI-driven solutions tailored to the specific needs of each business unit.

The AI Specialist also ensures the secure, compliant, and effective use of AI technologies by working closely with the Information Security (InfoSec) team to establish governance standards, mitigate risk, and ensure adherence to internal policies and external regulatory requirements.

Qualifications
  • Education: Bachelor’s degree in data science, Computer Science, Business Analytics, or related field (master’s preferred)
  • Work Experience: 3-7+ years of experience in data analytics, AI/ML, or business intelligence roles
  • Hands-on experience with AI tools, machine learning models, or large language models (LLMs)
  • Strong understanding of data analysis techniques, statistical methods, and predictive modeling
  • Experience working with cross-functional teams, including IT and InfoSec, in a governed environment
  • Experience with sales analytics, market analysis, or revenue operations
  • Experience integrating AI solutions with enterprise systems (ERP, CDP, BI tools)
  • Familiarity with AI governance frameworks, cybersecurity principles, and data privacy standards
  • Knowledge of prompt engineering and LLM optimization techniques
Skills and General Experience
  • Atlassian tools (e.g., Jira Software, Jira Service Management, Jira Assets, Confluence)
  • Analytical Rigor – Ability to derive meaningful insights from complex datasets
  • Business Acumen – Strong understanding of how data translates to business value
  • Technical Fluency – Deep knowledge of AI/ML tools, models, and platforms
  • Communication – Ability to explain complex AI concepts to non-technical stakeholders
  • Change Leadership – Driving adoption of new technologies across diverse teams
  • Security & Risk Awareness – Strong understanding of secure and compliant AI usage
  • Ethical Judgment – Ensuring responsible, secure, and compliant use of AI
Required Licenses

None

Physical Requirements
  • General physical requirements: Light work
  • Visual acuity requirements: Computer work, close inspection
  • Motion and sensory requirements: Standing, sitting, lifting, grasping, talking, hearing
  • Physical working conditions: Inside Environment
Essential Functions

  1. Data Analysis & Opportunity Identification

    • Utilize AI/ML models and tools to analyze sales performance, operations, customer behavior, and market trends
    • Identify revenue growth opportunities, margin improvements, and operational efficiencies
    • Translate complex analytical outputs into clear, actionable business insights, operational decisions and financial reporting
    • Build predictive and prescriptive models to support forecasting and decision-making

  2. AI Strategy & Business Enablement

    • Partner with functional leaders (Sales, Marketing, Finance, Supply Chain, etc.) to identify high-value AI use cases
    • Design tailored AI solutions aligned to department-specific goals and workflows
    • Lead pilot programs and scale successful AI initiatives across the organization
    • Act as a bridge between technical capabilities and business needs

  3. AI Governance, Security & Best Practices

    • Serve as the internal expert on responsible AI usage, including data privacy, model governance, and risk mitigation
    • Work closely with the InfoSec team to ensure AI tools and data usage comply with security standards and policies
    • Define and enforce policies for secure AI implementation and usage
    • Evaluate and select appropriate AI models (e.g., LLMs, predictive models) based on use case, risk, and performance
    • Ensure compliance with internal policies and external regulatory requirements

  4. Implementation & Integration

    • Collaborate with IT, data teams, and InfoSec to integrate AI solutions into existing systems (e.g., ERP, S&OP, CDP, BI platforms)
    • Ensure secure data handling, access controls, and model deployment practices
    • Oversee data readiness, model deployment, and performance monitoring
    • Continuously optimize models and workflows based on feedback and outcomes

  5. Training & Organizational Adoption

    • Educate stakeholders on AI capabilities, limitations, and secure usage practices
    • Develop training materials and conduct workshops for business users and leadership
    • Promote a culture of data-driven and AI-enabled decision-making
    • Provide ongoing support to ensure sustained adoption and value realization

Black Diamond is and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Black Diamond Equipment HR representative.

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