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Ai Checker Jobs in Utah (NOW HIRING)

Ai Checker information

What is an AI checker?

An AI Checker is responsible for reviewing and verifying the accuracy, quality, and fairness of AI-generated content or decisions. This role involves assessing machine learning models, checking for biases, and ensuring compliance with industry standards and ethical guidelines. AI Checkers may work in areas like content moderation, data validation, or AI model auditing. Strong analytical skills and knowledge of AI principles are often required for this position.

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

To excel as an AI Checker, you typically need a background in data analysis, quality assurance, and a solid understanding of artificial intelligence concepts, often supported by a degree in computer science, data science, or a related field. Familiarity with machine learning testing tools, annotation platforms, and version control systems such as Git is important for daily tasks. Attention to detail, analytical thinking, and strong communication skills are crucial for effectively identifying and reporting AI output issues. These competencies ensure the reliability and accuracy of AI systems, directly impacting product quality and user trust.

What are the main challenges an AI checker typically faces in their work?

AI Checkers often encounter the challenge of staying current with rapidly evolving AI technologies and adapting their quality assurance methods accordingly. A key part of the role involves reviewing complex datasets or AI-generated outputs, which may require critical thinking to spot subtle inaccuracies or biases. Collaboration with data scientists, engineers, and product managers is frequent, so effective communication and documentation skills are essential. Overcoming these challenges leads to higher-quality AI products and provides valuable experience for broader roles in AI development or quality assurance.

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

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

What cities in Utah are hiring for Ai Checker jobs?

Cities in Utah with the most Ai Checker job openings:

Infographic showing various Ai Checker job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Applied AI Engineer

Veracity Insurance Solutions

Pleasant Grove, UT • On-site

$140 - $170/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Senior Applied AI Engineer

Veracity Insurance Solutions Pleasant Grove, Utah, United States


About this position

At Veracity, we aim to be a different kind of insurance partner – one that is free from outside investors, venture capital, or the pressures of a corporate parent.


Ours is a culture of empowerment – one that believes in effort, results, and accountability. We believe that transparency fosters trust, trust fosters growth, and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.


We answer only to the small business owners we serve, and this independence allows us to stay focused on what matters most: helping their businesses thrive by providing expert guidance and best-in-class insurance policies.


We’re growing fast and want you to be a part of it!


We're seeking a technically sharp and organizationally influential Senior Applied AI Engineer to join our Engineering team. Veracity is building a new multi-tenant, API/MCP-first insurance platform where AI agents operate as first-class principals alongside human users – built on a deterministic core with an agentic layer. Money movement, binding, and compliance run on deterministic, auditable systems; agents handle orchestration, intake, document understanding, and workflow acceleration on top.


This is not a chatbot-building role. As a Senior Applied AI Engineer, you will do two jobs in one: build and harden production agent systems for a regulated insurance domain, and help define and implement our AI-first engineering and product principles – how the whole organization designs, builds, ships, and operates software with AI in the loop. This is a senior individual-contributor role with high architectural and organizational influence and a clear growth path toward technical leadership as the AI team scales.


Key Responsibilities

  • Design and ship production agentic systems – multi-agent orchestration, tool use, RAG pipelines, and MCP-based integrations against platform APIs

  • Build the reliability layer around agents – evals, guardrails, observability, cost controls, and regression testing – so agent behavior is measurable and defensible

  • Implement maker-checker patterns so AI accelerates regulated workflows without ever autonomously touching money, bind, or compliance decisions

  • Integrate agent capabilities with the deterministic core including canonical data model, Config Hub, and Control Tower task orchestration

  • Co-author and implement our AI-first engineering principles – agent harnesses, AI-assisted code review, shared skills and prompt libraries, eval-gated CI, and dev-environment standards – then drive adoption across squads in Vilnius and the US

  • Shape AI-first product principles – where AI belongs in the product and where it doesn't, human-in-the-loop patterns, agent UX conventions, and how AI capability estimates change scoping and build-vs-buy decisions

  • Set the standard through your own delivery – demonstrating what AI-first engineering makes possible and establishing the reference patterns other engineers adopt

  • Work directly with engineering leadership on the AI architecture roadmap and year-end production proof points

  • Required to perform other duties as requested, directed, or assigned


Requirements and Qualifications

  • 5+ years of software engineering experience with strong backend or full-stack foundations – APIs, event-driven systems, and data modeling

  • Real production experience with LLM-powered systems – agent orchestration, tool calling, RAG, and structured outputs – not just prototypes or demos

  • Demonstrated ability to make agentic systems reliable – evals, fallbacks, deterministic checkpoints, and cost and latency management

  • Strong product judgment – you scope AI where it earns its place and default to deterministic code where it doesn't

  • Evidence you've changed how others build, not just how you build – workflows, harnesses, or practices you introduced that a team adopted and kept using

  • Clear written communication with comfort operating in an async-first, distributed team environment

  • Health, dental, and vision plans

  • Amazing work-life balance with 4 weeks of Paid Time Off

  • 10 Paid Company Holidays with 2 floating holidays

  • 401K Programs with employer match

  • Personal assistance programs for support in a healthy personal and work life


Why Veracity?

  • Engage in groundbreaking projects that are reshaping the insurance landscape

  • Collaborate with a group of dedicated, like-minded professionals

  • Experience a culture that prioritizes growth and development


Compensation Range: $140k/yr - $170k/yr


We are proud to be an equal-opportunity employer. We are committed to providing equal opportunities to all qualified applicants, regardless of race, color, religion, sex, national origin, disability, or any other legally protected characteristics.


If you need accommodation, please let us know during the interview process.

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