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Data Annotation Tech Jobs in Utah (NOW HIRING)

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Obvio Inc

Video Data Annotator

Salt Lake City, UT · On-site

$22 - $24/hr

Provide constructive feedback to refine our data annotation tools and processes. * Collaboration ... Quick to learn and adept with new tools and technologies. * Work Ethic: Demonstrated ability to ...

Sorenson

Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

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.

CaptionCall

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.

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How much do data annotation tech jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data annotation tech in Utah is $20.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $24.71 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What are the key skills and qualifications needed to thrive as a data annotation tech?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

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

The most popular types of Data Annotation Tech jobs in Utah are:

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

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

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

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What cities in Utah are hiring for Data Annotation Tech jobs?

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Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Utah as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $43,254 per year, or $20.8 per hour.

Video Data Annotation Team Lead

Salt Lake City, UT • On-site

Obvio Inc
See more jobs at Obvio Incexternal

Full-time

Posted 18 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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