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Ai Task Jobs in Utah (NOW HIRING)

Atonom

AI Revenue Engineer

Provo, UT · On-site

$60K - $90K/yr

You do not just complete tasks. You notice inefficiencies and ask how the whole process could work ... AI tools, primarily Claude (agents, drafting, automation) * APIs and light scripting (bonus ...

Atonom

AI Revenue Engineer

Provo, UT · On-site

You do not just complete tasks. You notice inefficiencies and ask how the whole process could work ... AI tools, primarily Claude (agents, drafting, automation) * APIs and light scripting (bonus ...

Atonom

AI Revenue Engineer

Provo, UT · On-site

You do not just complete tasks. You notice inefficiencies and ask how the whole process could work ... AI tools, primarily Claude (agents, drafting, automation) * APIs and light scripting (bonus ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

Define and implement evaluation frameworks for AI systems, including offline test sets, regression suites, adversarial testing, groundedness and faithfulness scoring, task completion metrics, and ...

Broccoli AI

Customer Success Manager

Lehi, UT · On-site

$95K - $120K/yr

You think in workflows and outcomes, not tasks AI-native * You use tools like Claude to move faster and automate work * You look for leverage in everything you do Revenue-oriented * You understand ...

Broccoli AI

Customer Success Manager

Lehi, UT · On-site

You think in workflows and outcomes, not tasks AI-native * You use tools like Claude to move faster and automate work * You look for leverage in everything you do Revenue-oriented * You understand ...

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Define and implement evaluation frameworks for AI systems, including offline test sets, regression suites, adversarial testing, groundedness and faithfulness scoring, task completion metrics, and ...

micro1 AI

Medical Billing Specialist

Provo, UT · Remote

$50 - $80/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review realistic evaluation tasks based on Clinical Study Reports, DSURs, PSURs/PBRERs, and ...

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Ai Task information

What is an AI task?

AI tasks are specific activities or problems that artificial intelligence systems are designed to perform or solve. These can range from natural language processing, image recognition, and data analysis to autonomous decision-making and recommendation systems. AI tasks are typically defined based on the goals of an AI project and can be performed by machine learning models, algorithms, or other intelligent software. Understanding the nature of a particular AI task is crucial for choosing the right tools and methods to solve it effectively.

What are some common challenges faced by AI task specialists when working on multi-disciplinary teams?

AI Task specialists often collaborate with data scientists, software engineers, product managers, and domain experts. A common challenge is translating complex technical concepts into actionable insights for non-technical stakeholders while ensuring that the AI models align with business objectives. Balancing competing priorities, such as model accuracy versus deployment speed, and managing expectations around AI capabilities can also be demanding. Effective communication and adaptability are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, typically supported by a relevant degree. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and familiarity with cloud platforms is essential, and certifications in data science or AI can be advantageous. Strong problem-solving abilities, creativity, and effective communication skills help AI Engineers design innovative solutions and explain complex concepts to diverse stakeholders. These skills ensure successful development, deployment, and integration of AI technologies in real-world applications.

What is the difference between Ai Task vs Data Annotator?

AspectAi TaskData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training in annotation tools often provided
Work EnvironmentRemote or on-site, often part of AI development teamsPrimarily remote, working with datasets and annotation platforms
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and data science
Search & Comparison IntentUnderstanding roles in AI projects, job requirementsClarifying data labeling tasks and skills needed

Ai Tasks involve a range of activities related to training AI models, including data labeling, model testing, and algorithm development. Data Annotators specifically focus on labeling and annotating datasets to train machine learning models. While both roles support AI development, Ai Tasks encompass broader responsibilities, whereas Data Annotators primarily handle data preparation.

Ai Task jobs near you
Infographic showing various Ai Task job openings in Utah as of August 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Revenue Engineer

Provo, UT • On-site

Atonom
See more jobs at Atonomexternal

$60K - $90K/yr

Full-time

Medical, PTO

Re-posted 15 days ago

Job description

AI Revenue Engineer, Sales | Full-Time | On-Site (Provo, UT)
About Atonom
At Atonom.ai, we are defining the Autonomous Era by building the world's first true "Cloud Employees," intelligent AI agents capable of executing complex work across Sales, Marketing, Support, and HR. We believe growth should be limited only by ambition, not headcount. Join us as we build the infrastructure for the next generation of work.
Role
This is not a traditional sales operations role. We are looking for someone who builds, someone who sees a manual, repetitive part of the sales motion and replaces it with a system that runs itself.
As an AI Revenue Engineer, you will design, build, and maintain the AI agents and automations that move deals through our pipeline. You will work at the intersection of our sales process and our own product, using Claude and the tools we build to track deal flow, surface what matters, and remove the manual work that slows a deal down. If you are excited by the idea of engineering how revenue actually gets generated, at a company in the business of autonomous intelligence, this role was designed for you.
What You'll Do
  • Workflow Automation: Build and maintain AI-driven workflows that move deals through the pipeline, including lead routing, enrichment, follow-up, handoffs, and stage progression.
  • Cloud Employees: Design, deploy, and refine AI agents that handle real sales work, from research and outreach drafting to CRM hygiene and deal updates.
  • Pipeline Visibility: Build dashboards and reporting that give the sales team and leadership a clear, current view of deal flow, conversion, and bottlenecks.
  • Optimization: Find where deals stall or where reps lose time, then engineer the system that fixes it. Measure the result.
  • Tooling & Integration: Connect our CRM, data sources, and internal tools so information flows without manual entry.
  • Process Improvement: Document how the sales motion works today and improve it, with a bias toward automation and measurable outcomes.

Who You Are
  • Technologically fluent: You hold a bachelor's degree in a related field, or you have equivalent hands-on experience building and shipping. You have up to 2 years of experience or relevant internships.
  • AI-forward: You already build with AI tools. You know how to prompt effectively, chain steps into reliable workflows, and think critically about where an agent should and shouldn't run unattended.
  • A builder: You are comfortable with automation tools, APIs, and light scripting. You would rather wire two systems together than copy data between them by hand.
  • Commercially minded: You understand how a deal moves from first touch to closed-won, and you care that your work moves that number.
  • Systems thinker: You do not just complete tasks. You notice inefficiencies and ask how the whole process could work better.
  • Detail-oriented and dependable: You check your work, ask clarifying questions, and care about getting it right, because a broken workflow breaks a rep's day.

Your First 90 Days
  • Month 1: Learn the business, the sales motion, and the current pipeline and tooling. Begin identifying where AI and automation can add leverage.
  • Month 2: Take ownership of one part of the pipeline and ship your first AI-driven workflow or agent into live use.
  • Month 3: Deliver a measurable improvement to deal flow, such as faster cycle time, cleaner data, or reclaimed rep hours, and start building the next.

Technical Skills
  • Automation platforms and workflow tooling
  • AI tools, primarily Claude (agents, drafting, automation)
  • APIs and light scripting (bonus: experience integrating CRMs and data sources)
  • CRM familiarity (e.g., HubSpot, Salesforce)
  • Google Suite

Why Join
  • Direct development: You will work closely with the Marketing leadership team, not handed a manual and left alone.
  • Broad exposure: Every channel from day one, not a single narrow function.
  • Real responsibility: Strong performance creates a clear path toward a senior role as the company scales.
  • Front-row seat to AI: You will build with the tools we make, not just read about them.

Benefits
  • Start building your PTO hours on Day 1.
  • Access to a competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary

Apply