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Internship Ai Data Annotation Jobs in Utah (NOW HIRING)

Connect our CRM, data sources, and internal tools so information flows without manual entry ... You have up to 2 years of experience or relevant internships. * AI-forward: You already build with ...

Connect our CRM, data sources, and internal tools so information flows without manual entry ... You have up to 2 years of experience or relevant internships. * AI-forward: You already build with ...

Connect our CRM, data sources, and internal tools so information flows without manual entry ... You have up to 2 years of experience or relevant internships. * AI-forward: You already build with ...

AI Revenue Engineer

Provo, UT · On-site

$60K - $90K/yr

Connect our CRM, data sources, and internal tools so information flows without manual entry ... You have up to 2 years of experience or relevant internships. * AI-forward: You already build with ...

... AI leadership and own annotation policies that require an understanding of both technical and ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...

Senior Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

Prior experience with annotation tools such as ELAN, CVAT, or comparable platforms. * Experience working with AI/ML teams, technology companies, or research groups that produce sign language data.

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ...

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ...

Equivalent experience through internships or self-directed work counts too. * Curious about how ... Basic understanding of APIs, webhooks, or data integrations. * Familiarity with SQL, Python, or ...

Showing results 21-40

Internship Ai Data Annotation information

What are the typical challenges faced during an AI data annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

What is an AI data annotation internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

What is the difference between Internship Ai Data Annotation vs Data Labeler?

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

What are the key skills and qualifications needed to thrive as an AI data annotation intern?

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.
What are the most commonly searched types of Ai Data Annotation jobs in Utah? The most popular types of Ai Data Annotation jobs in Utah are:
What are popular job titles related to Internship Ai Data Annotation jobs in Utah? For Internship Ai Data Annotation jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Internship Ai Data Annotation jobs in Utah look for? The top searched job categories for Internship Ai Data Annotation jobs in Utah are:
What cities in Utah are hiring for Internship Ai Data Annotation jobs? Cities in Utah with the most Internship Ai Data Annotation job openings:
Infographic showing various Internship Ai Data Annotation job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Revenue Engineer

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Re-posted 10 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