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Generative Ai Testing Jobs in Orem, UT (NOW HIRING)

As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ... Taking initiative to test new generative models and content generation workflows as well as testing ...

As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ... Taking initiative to test new generative models and content generation workflows as well as testing ...

As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ... Taking initiative to test new generative models and content generation workflows as well as testing ...

Familiarity with attacker techniques against LLM systems and generative AI products. * Knowledge of ... Hands-on penetration testing experience for AI/ML and LLM-powered products, including chat ...

Strong understanding of AI-enabled software development, including Generative AI concepts, AI ... Experience implementing CI/CD pipelines, automated testing strategies, DevOps or DevSecOps ...

Director, Product Management, Platform

Sandy, UT · On-site

$221K - $232K/yr

... testing assumptions on scalability, integration patterns, and developer experience before ... generative AI capabilities sufficient to anticipate platform needs -- including API design ...

Automated testing (JUnit, TestNG, Jest,Vitest, or similar) * Familiarity with web technologies ... Experience with generative AI, machine learning, and predictive algorithms Familiarity with ...

Automated testing (JUnit, TestNG, Jest,Vitest, or similar) * Familiarity with web technologies ... Experience with generative AI, machine learning, and predictive algorithms Familiarity with ...

Web Operations Manager

Lehi, UT · On-site +1

$109K/yr

Coordinate QA, cross-browser testing, regression testing, and releases with the web development ... Lead Vasion's Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategy ...

Web Operations Manager

Lehi, UT · On-site

$109K/yr

Coordinate QA, cross-browser testing, regression testing, and releases with the web development ... Lead Vasion's Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategy ...

Web Operations Manager

Lehi, UT · On-site +1

$109K/yr

Coordinate QA, cross-browser testing, regression testing, and releases with the web development ... Lead Vasion\'s Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategy ...

Web Operations Manager

Lehi, UT · On-site

$109K/yr

Coordinate QA, cross-browser testing, regression testing, and releases with the web development ... Lead Vasion's Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategy ...

Senior Staff Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

... including generative and agentic AI * Partner with Product, Security, DevOps, and business ... Create and enforce testing strategies, including integrated and automated testing approaches

Showing results 21-38

Generative Ai Testing information

See Orem, UT salary details

$27

$46

$66

How much do generative ai testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for generative ai testing in Orem, UT is $46.71, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $53.51 per hour, depending on experience, location, and employer.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

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

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

Infographic showing various Generative Ai Testing job openings in Orem, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,152 per year, or $46.7 per hour.

Junior AI Art Director (Part-Time)

Pattern

Lehi, UT

Part-time

Posted 14 days ago


Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly shaping the visual engine driving Pattern’s ecommerce content! This is a part-time position (20 hours per week) where you will work closely with creative, engineering, and studio teams to vet and elevate AI-generated creative outputs spanning photography, copy, and video for hundreds of global brands. If you are interested in data driven marketing, systems design, image generation, and pushing the limits of automated content generation, this is your opportunity to disrupt the industry! 

What is a day in the life of a Junior AI Art Director?
  • Vetting Creative Outputs: Reviewing and auditing automated AI image generations, copy, and video content for visual quality and brand alignment.

  • Testing and Prompting: Experimenting with various image generation models and tools (such as Nanobanana ChatGpt Image, Qwen, Weavey, and local generative workflows) to test content creation across diverse product categories.

  • Building Auditing Rules: Spot-checking a wide range of generated imagery against quality benchmarks to ensure that data source assets perform in model training and generation environments.

  • Studio & Portal Collaboration: Working on site with the studio team to understand capture setups and ensuring studio photography is tuned to produce high-fidelity content

  • Feedback Loops: Communicating structured, actionable aesthetic feedback to engineering and technical teams to tune and improve the generative engine.

What will I need to thrive in this role?
  • Aesthetic Sensibility: A strong sense of taste and visual judgement (from a background in graphic design, photography, marketing, or fine arts) to evaluate brand compliance and imagery quality.

  • Curiosity for Technology: An eager, open-minded approach toward AI and generative image tools including technical systems for creative production and node-based workflows.

  • Interdisciplinary Communication: Ability to translate abstract visual and brand concepts into precise feedback that organizations can action.

  • Adaptability & Drive: High energy and comfort with rapidly evolving systems, changing parameters, and pioneering uncharted creative territory.

  • In-Person Availability: Ability to work on-site in the office (ideally Mondays, Wednesdays, and/or Thursdays) with periodic visits to the studio.

What does high performance look like?
  • Execution & Output Quality: Consistently identifying aesthetic defects, fine-tuning model inputs, and maintaining high output standards in collaboration with senior leadership.

  • System Integration: Successfully building and documenting auditing rules that directly improve the automated generation pipeline.

  • Team & Cross-Functional Impact: Functioning cross-functionally as a bridge between creative, studio operations, and engineering.

  • Proactive Problem Solving: Taking initiative to test new generative models and content generation workflows as well as testing R&D tools ahead of full rollouts.

What is my potential for career growth?
  • Pioneer Experience: Gain rare, cutting-edge experience at the intersection of AI generation and commercial art direction that is nearly impossible to find elsewhere.

  • Mentorship: Work directly under senior creative leadership to hone your visual judgment, prompt engineering, and model-tuning skill set.

  • Role Expansion: Opportunity to transition from a part-time initial structure (20 hours/week) into a full-time role as content production scales up.

  • Cross-Functional Exposure: Build direct working relationships with engineering, studio management, and cross-departmental teams across Pattern.

What does success look like in the first 30, 60, 90 days?
  • First 30 Days: Develop complete familiarity with Pattern’s internal content generation processes, branding guidelines, and cross-functional team workflows.

  • First 60 Days: Begin independently vetting content output from the engine and reliably identifying the visual feedback standards expected by leadership.

  • First 90 Days: Seamlessly communicate precise feedback directly to engineering teams and run point on spot-checking portal data capture systems.

What is the team like?

This role reports directly to the Director of AI Content. You will be joining a growing team of creative and technical professionals. In this role, you will collaborate closely with the Studio Head, Portal Stylists, Partner Art Directors and Pattern Labs team, as well as other departments including Engineering, Tech, and Marketing. This position is mentored by the Director of AI Content.

Sounds great! What’s the company culture?

We are looking for individuals who are:

  • Game Changers: A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.

  • Data Fanatics: A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.

  • Partner Obsessed: An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.

  • Team of Doers: Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

What is the hiring process?
  1. Video interview with Talent Acquisition

  2. Video Interview with Hiring Manager 

  3. On-Site Interview 

  4. Video Interview with Department Leader

  5. Professional reference checks

  6. Executive review

  7. Offer

How can I stand out as an applicant?

Strong "Nice-to-Haves":

  • A strong visual portfolio showcasing fine art, photography, graphic design, or commercial advertising work.

  • Prior exposure to node-based workflow tools (such as Weave/Figma Weave) or basic prompting experience with generative tools (ChatGPT, Gemini, Midjourney).

  • A background or educational training in Graphic Design, Photography, or Commercial Marketing.

Tips to Stand Out During the Interview:

  • Showcase your portfolio: Be prepared to walk through visual examples that demonstrate your eye for detail, composition, and brand consistency. Demonstrated system design is a plus.

  • Highlight your AI curiosity: Share concrete examples of how you’ve experimented with or applied AI tools in your personal, academic, or professional projects.

  • Demonstrate interdisciplinary thinking: Highlight your ability to discuss technical concepts comfortably without losing sight of aesthetic quality and user experience.

Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Accrued PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.