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Prompt Jobs in Utah (NOW HIRING)

ChatGPT Tutor

Logan, UT ยท Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

ChatGPT Tutor

Provo, UT ยท Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

ChatGPT Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

ChatGPT Tutor

Spanish Fork, UT ยท Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Vibe Coding Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid prototyping workflows while preparing students for modern AI-augmented development. * Conceptual Teaching ...

Vibe Coding Tutor

Logan, UT ยท Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid prototyping workflows while preparing students for modern AI-augmented development. * Conceptual Teaching ...

Vibe Coding Tutor

Provo, UT ยท Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid prototyping workflows while preparing students for modern AI-augmented development. * Conceptual Teaching ...

Vibe Coding Tutor

Spanish Fork, UT ยท Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid prototyping workflows while preparing students for modern AI-augmented development. * Conceptual Teaching ...

Sr. Applied AI Engineer

Salt Lake City, UT ยท On-site

$101K - $138K/yr

Establish safeguards for responsible AI use, including prompt injection defense, data access controls, PII protection, bias and toxicity detection, misuse prevention, audit logging, and policy ...

Sr. Applied AI Engineer

Salt Lake City, UT ยท On-site

$101K - $138K/yr

Establish safeguards for responsible AI use, including prompt injection defense, data access controls, PII protection, bias and toxicity detection, misuse prevention, audit logging, and policy ...

Provide professional, prompt, and courteous Breakfast service ensuring guests' satisfaction * Serve menu items to guests in a prompt and courteous manner * Prepare food in a quick/timely manner for ...

Bagger/Service Clerk

Roosevelt, UT

$16.50 - $20/hr

Essential Job Duties: 1. At all times develop maximum customer relations through a friendly and courteous behavior. 2. Prompt and cheerful bagging of customer's purchases 3. Prompt and cheerful offer ...

Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of what they can do in a real work context. * A strong communicator who can guide clients through ...

Lovable Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

Ability to explain prompt-based application development, component architecture, and iterative design refinement while preparing students for rapid application creation without traditional coding ...

Join client calls to understand business needs and translate them into AI workflows - including prompt design, multi-step automations, and QA checks. * Troubleshoot implementation issues. Dig into ...

Bagger/Service Clerk

Roosevelt, UT ยท On-site

$16.50 - $20/hr

Essential Job Duties: 1. At all times develop maximum customer relations through a friendly and courteous behavior. 2. Prompt and cheerful bagging of customer's purchases 3. Prompt and cheerful offer ...

Associate Deploy Consultant

Provo, UT ยท On-site

$50K - $90K/yr

Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of what they can do in a real work context. * A strong communicator who can guide clients through ...

Associate AI Operations

Provo, UT ยท On-site

$50K - $90K/yr

Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how AI performs in real-world workflows. * A strong communicator who can translate operational findings ...

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Showing results 1-20

Prompt information

See Utah salary details

$9

$15

$22

How much do prompt jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for prompt in Utah is $15.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $15.77 per hour, depending on experience, location, and employer.

What is a prompt engineer?

Prompt engineers are professionals who specialize in designing, refining, and optimizing prompts for artificial intelligence models, particularly large language models like ChatGPT. Their work involves crafting queries that elicit accurate, relevant, and useful responses from AI systems. Prompt engineers often collaborate with developers, data scientists, and product teams to improve AI interactions, troubleshoot issues, and enhance user experience. As AI technology evolves, prompt engineering is becoming an increasingly important skill for leveraging the full potential of language models.

What are common challenges faced by prompt engineers when developing effective prompts for AI models?

Prompt Engineers often encounter challenges such as ensuring prompts are clear, unbiased, and consistently produce accurate outputs across various scenarios. Balancing specificity and flexibility in prompts to achieve reliable results can be complex, especially when working with evolving AI models. Collaborating closely with data scientists, product managers, and end users is crucial to iteratively test and refine prompts, making adaptability and strong communication vital skills in this role.

What skills and qualifications are needed to thrive as a prompt engineer?

To thrive as a Prompt Engineer, you need strong skills in natural language processing, programming (often Python), and a solid understanding of AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with tools like OpenAI's API, prompt-tuning frameworks, and version control systems such as Git is commonly required. Excellent problem-solving, creativity, and clear communication help you design effective prompts and collaborate with cross-functional teams. These skills and qualities are crucial for optimizing AI model performance and delivering innovative solutions for complex tasks.

What is the difference between Prompt vs Data Analyst?

AspectPrompt
Required CredentialsTypically no formal credentials; familiarity with AI and NLP tools
Work EnvironmentTech companies, AI labs, remote or office settings
Industry UsageAI development, content creation, chatbot design
Common Search IntentUnderstanding AI prompt engineering and optimization

While Prompt specialists focus on designing inputs for AI models, Data Analysts interpret data to inform decisions. Both roles require analytical skills, but Prompt roles emphasize AI interaction, whereas Data Analysts work with structured data analysis.

Infographic showing various Prompt job openings in Utah as of July 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $31,218 per year, or $15 per hour.

Applied AI Field Engineer (Orlando)

Trilon Group

Salt Lake City, UT โ€ข On-site

$155K - $190K/yr

Full-time

Re-posted 23 days ago


Job description

Description
Trilon is building a supercharged, technology-enabled future for our people and partners. The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies. 
This role sits at the intersection of software engineering and applied AI, focused on designing and implementing the intelligence layer of our products. You translate product requirements and architectural patterns into working AI capabilities by building prompt frameworks, retrieval-augmented generation pipelines, and agent-based workflows that operate against real engineering data and deliverables. 
Working within a product pod, you partner closely with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions. You own how the system reasons, including prompt design, context management, model integration, and orchestration logic. You also help define how quality is measured for AI outputs, ensuring tools are accurate, reliable, and usable in real-world workflows. 
You will engage directly with engineers across our operating companies to understand workflows, validate solutions, and iterate quickly based on feedback. You may also participate in field-based project hackathons, embedding with teams to identify high-impact opportunities and rapidly prototype solutions that inform platform development. 
This role requires strong software engineering fundamentals, deep hands-on experience with modern AI tooling, and the ability to operate in a fast-moving environment where both the technology and the product are evolving. You are comfortable with ambiguity, rigorous about output quality, and focused on delivering AI that engineers trust and use. 

Key Responsibilities
AI Application Development
  • Design and build AI-powered features using large language models and related tooling 
  • Develop and maintain prompt architectures that drive consistent, high-quality outputs 
  • Implement retrieval-augmented generation pipelines using enterprise data sources 
  • Build and orchestrate agent-based workflows to automate targeted tasks 
Model Integration and System Behavior 
  • Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems 
  • Design context management strategies to ensure outputs are grounded, relevant, and accurate 
  • Manage tradeoffs across latency, cost, and performance in AI workflows 
  • Continuously improve system behavior through prompt iteration and architecture refinement
Pod Collaboration and Delivery 
  • Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfaces 
  • Align with the Lead Engineer on technical direction, architecture, and implementation decisions 
  • Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputs 
  • Translate product requirements into scalable, production-ready AI solutions 
Evaluation and Quality Optimization 
  • Define and implement approaches for evaluating non-deterministic AI outputs 
  • Build test cases, benchmarks, and evaluation pipelines to track output quality over time 
  • Identify failure modes and iterate on prompts, pipelines, and orchestration logic 
  • Ensure consistency and reliability as models, prompts, and data sources evolve 
Continuous Improvement and Innovation 
  • Stay current with advancements in LLMs, vector databases, and agent frameworks 
  • Experiment with new tools and techniques to improve speed, quality, and capability 
  • Contribute reusable patterns, components, and best practices across pods 


Skills, Knowledge and Expertise
  • 4+ years of experience in software engineering, applied AI, or machine learning development 
  • Strong programming skills in Python and/or JavaScript 
  • Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar 
  • Experience designing and implementing prompt architectures and prompt engineering techniques 
  • Experience building retrieval-augmented generation pipelines and working with vector databases 
  • Familiarity with agent orchestration frameworks and multi-step AI workflows 
  • Experience integrating AI capabilities into applications via APIs and backend systems 
  • Strong understanding of handling structured and unstructured data in AI systems 
  • Ability to evaluate, debug, and improve non-deterministic AI outputs 
  • Experience working in a fast-paced, product-oriented development environment 
  • Strong problem-solving skills and ability to operate in ambiguous, evolving contexts 
  • Ability to collaborate closely with engineers, product managers, and QA within a pod structure 
  • Excellent communication skills and ability to explain technical concepts clearly 
  • Curiosity and willingness to learn domain-specific workflows, particularly within engineering and AEC contexts