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Explainable Ai Jobs in Orem, UT (NOW HIRING)

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Explainable Ai information

See Orem, UT salary details

$62.2K

$97.4K

$136.1K

How much do explainable ai jobs pay per year?

As of Aug 30, 2026, the average yearly pay for explainable ai in Orem, UT is $97,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $110,400.00 per year, depending on experience, location, and employer.

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.

What are the key skills and qualifications needed to thrive as an Explainable AI specialist?

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are popular job titles related to Explainable Ai jobs in Orem, UT?

For Explainable Ai jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Explainable Ai jobs in Orem, UT look for?

The top searched job categories for Explainable Ai jobs in Orem, UT are:

Explainable Ai jobs near you

Business Intelligence (Advanced Analytics Developer)

Draper, UT • On-site

Solomon Page
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Solomon Pageexternal

$55/hr

Contractor

Medical, Dental, Retirement

Posted 21 days ago

Job description

We're seeking an Analyst, AI & Analytics for our Executive and Equity Compensation function - a curious, hands-on analytics builder with strong quantitative problem-solving skills who can transform how we produce reporting, develop insights, and support high-stakes decisions. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation, partnering directly with the Director of Executive and Equity Compensation to turn ambiguous business needs into reliable, scalable analytics products using AI. Deep compensation expertise isn't required - we're prioritizing problem-solving, technical fluency, learning agility, and a proven track record of bringing practical solutions to reality in the age of AI.
  • Pay Range :$50/hr on w2 to $55/hr on w2
Responsibilities:
  • Apply a product-centric approach to streamline, re-engineer, and automate recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows
  • Evaluate compensation frameworks using quantitative and qualitative data to pinpoint problems and recommend data-backed automated AI solutions
  • Design, build, and maintain scalable data models, dynamic dashboards, and reporting solutions for use cases such as benchmarking, scenario analysis, grant and equity reporting
  • Apply company-approved AI tools and automation to data preparation, classification, reconciliation, anomaly detection, analysis, narrative generation, and ad hoc question answering, with appropriate human review and controls
  • Develop AI-enabled workflows, assistants, or agents grounded in approved data and documentation that produce reliable, explainable, and useful outputs
  • Translate ambiguous business questions into clear problem statements, requirements, prototypes, and measurable outcomes
  • Establish data definitions, quality checks, validation controls, documentation, and monitoring to improve trust, auditability, and repeatability
  • Create executive-ready visualizations and narratives that turn complex data from Workday, Vizier, and stock administration systems into clear insights, options, and recommendations
  • Partner across People Analytics, HR Technology, Stock Administration, Payroll, Data and Engineering, Privacy, Security, and Responsible AI
  • Evaluate tools and build-versus-buy options, create reusable operating practices, and handle highly sensitive information with exceptional discretion and accuracy
Required Qualifications:
  • 3-5 years of relevant experience in data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field
  • Bachelor's degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience
  • Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, and reporting; automate workflows; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable
  • Proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement
  • Strong proficiency in advanced Excel or Google Sheets strongly preferred; proficiency in SQL, Python, R, or another scripting/automation language is a plus but not required
  • Experience building data models, working with large and complex datasets, implementing validation and reconciliation controls, and creating dashboards in Power BI or a comparable platform
Preferred:
  • Experience in executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain
  • Business Systems Analyst experience with Workday or another HRIS, equity administration platforms
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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