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Ai Annotation Jobs in Utah (NOW HIRING)

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation

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All JobsAi Annotation JobsAi Annotation Jobs in Utah

Ai Annotation information

See Utah salary details

$10.1K

$42.8K

How much do ai annotation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai annotation in Utah is $41,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $41,400.00 per year, depending on experience, location, and employer.

What is an AI annotation?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What does an AI annotation specialist do?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

What are the key skills and qualifications needed to thrive in the AI annotation position?

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

What are the most commonly searched types of Ai Annotation jobs in Utah?

The most popular types of Ai Annotation jobs in Utah are:

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

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

What job categories do people searching Ai Annotation jobs in Utah look for?

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What cities in Utah are hiring for Ai Annotation jobs?

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Ai Annotation jobs near you
Infographic showing various Ai Annotation job openings in Utah as of August 2026, with employment types broken down into 46% Full Time, 28% Part Time, and 26% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $41,269 per year, or $19.8 per hour.

Video Data Annotation Team Lead

Obvio Inc

Salt Lake City, UT • On-site

Full-time

Posted 13 days ago

Job description

About Obvio AI
Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable-automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities.
Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally.
As we open our new Salt Lake City office and grow our annotation team, we are looking for a Video Data Annotation Team Lead to help build and manage our newest team. This person will be deeply integrated into the day to day functions of the annotation team to understand exactly what the team is seeing, but experienced enough to coach others, identify problems, and keep the team operating at a high standard.
This is a player-coach role. You will still spend time reviewing video and working directly in our annotation workflows, but your bigger responsibility is making sure the people around you are successful. That means answering questions, reviewing difficult cases, catching quality issues before they become patterns, helping new hires ramp quickly, and making sure the team understands how to apply guidelines consistently.
What You'll Do
This role has two components: supporting the annotation team day-to-day while remaining hands-on in the work yourself.
Team Leadership and Quality
  • Serve as the day-to-day point person for a team of Video Data Annotators in our Salt Lake City office and work collaboratively with our California office
  • Help onboard and train new annotators, ensuring they understand our tools, workflows, quality standards, and escalation processes
  • Coach team members on accuracy, productivity, and consistency, giving clear and actionable feedback when performance needs to improve
  • Review difficult or ambiguous traffic events and help annotators determine the correct outcome
  • Conduct quality checks and identify recurring mistakes, inconsistencies, or areas where the team needs additional training
  • Run or participate in calibration sessions to make sure reviewers are applying guidelines consistently
  • Monitor team workload and queues, helping prioritize work and flagging capacity or performance issues before they become bottlenecks
  • Escalate recurring edge cases, unclear guidelines, and operational issues
  • Help maintain SOPs, training materials, and reviewer documentation as processes evolve

Video Review and Annotation
  • Review and annotate video footage to identify traffic events and potential violations
  • Accurately record and verify detailed information extracted from video content
  • Stay close to the annotation work to understand where reviewers are could be struggling and where workflows can improve
  • Model the level of accuracy, judgment, and productivity expected from the broader team
  • Provide feedback on annotation tooling and workflows based on what you and the team experience day-to-day
  • Partner with leadership to test and implement process improvements as the organization scales

What We're Looking For
  • 2-5 years of experience in data annotation, quality assurance, operations, trust & safety, content review, compliance operations, or another high-volume, detail-oriented environment
  • Prior leadership experience, whether as a team lead, senior individual contributor, trainer, QA specialist, or informal mentor
  • Exceptional attention to detail; you notice small inconsistencies that other people miss
  • Comfortable making judgment calls when a situation doesn't fit neatly into an existing rule
  • Able to give direct, constructive feedback without making the relationship adversarial
  • Comfortable holding teammates accountable to quality and productivity expectations
  • Strong written and verbal communication skills
  • Quick to learn new tools and comfortable working in technology-driven workflows
  • You don't wait for someone else to notice a problem. If something is slowing the team down or creating errors, you surface it and help fix it
  • Experience with data labeling, AI/ML operations, video review, regulated workflows, or public safety is a plus
  • Startup experience is a plus; processes here will evolve quickly, and we want someone who is energized by helping make them better

Why Obvio
  • Your work will help save lives and improve road safety
  • Series A of $22M led by Bain Capital
  • Fast-moving startup environment with meaningful ownership
  • Competitive compensation and early-stage equity

Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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