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Data Annotation Ai Trainer Jobs in Utah (NOW HIRING)

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 ...

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 ...

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 ...

Obvio Inc

Video Data Annotator

Salt Lake City, UT · On-site

$22 - $24/hr

About Obvio AI Each year, more than 40,000 people in the U.S. leave home and never make it back due ... annotation tools and processes. * Collaboration: Actively participate in team meetings and training ...

Posted today

Tesla

Data Labeler Manager

Draper, UT · On-site

... AI leadership and own annotation policies that require an understanding of both technical and ... training materials • Execute proper headcount allocation between quality control, labeling, and ...

Sorenson

Senior Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

Partner with AI/ML engineering teams to clarify linguistic requirements for training data, review ... Maintain accurate records of annotation work, decisions, and edge cases in team tooling and ...

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Data Annotation Ai Trainer information

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

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

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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Cities in Utah with the most Data Annotation Ai Trainer job openings:

Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Utah as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution.

Video Data Annotation Team Lead

Obvio Inc

Salt Lake City, UT • On-site

Full-time

Posted yesterday

New

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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