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Internship Ai Data Annotation Jobs in Utah (NOW HIRING)

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 ...

AI Strategy Consultant

Provo, UT · On-site

$50K - $90K/yr

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 ...

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 ...

... data visualization, and mission integration support. Required: * US citizen or permanent resident ... Proficiency in Python 3 * Proficiency with AI Coding Tools * Proficiency with Linux systems * High ...

New

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

... data visualization, and mission integration support. Required: * US citizen or permanent resident ... Proficiency in Python 3 * Proficiency with AI Coding Tools * Proficiency with Linux systems * High ...

New

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

Familiarity with annotation tools such as ELAN, CVAT, or similar platforms. * Experience working with AI/ML teams, technology companies, or research groups that generate sign language data.

Familiarity with annotation tools such as ELAN, CVAT, or similar platforms. * Experience working with AI/ML teams, technology companies, or research groups that generate sign language data.

Showing results 41-60

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.

Full-time

Medical, PTO

Re-posted 24 days ago


Job description

AI Strategy Associate

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a AI Strategy Associate, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Analyze customer business processes to find high-impact opportunities for AI Cloud Employee deployment.
  • Join client calls to understand strategic goals and help translate them into AI workflows, including scoping use cases, defining success metrics, and shaping implementation plans.
  • Troubleshoot implementation issues by understanding both the business context and the technical root cause, with guidance from senior team members.
  • Document implementation outcomes, build case studies, and contribute to playbooks that capture what works.
  • Share product feedback with Engineering and Product teams, including market patterns, feature gaps, and customer pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Business, Strategy, Economics, Management, or a related field. Equivalent experience through internships or self-directed work counts too.
  • Curious about how businesses run. You like understanding operations, spotting inefficiencies, and thinking about where technology can help.
  • Interested in LLMs and prompt engineering. You don't need deep technical experience, but you've explored AI tools and thought about how they create business value.
  • A strong communicator who can connect technical capabilities to business outcomes and present ideas clearly to clients and internal teams.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.