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From Home Image Annotation Jobs in Utah (NOW HIRING)

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States ... Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States ... Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States ... Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation

On-site only (not a remote or work-from-home position) Schedule: Full-time, Monday-Friday, 9:00 a.m ... Complete image processing, file organization, and metadata management tasks * Follow established ...

On-site only (not a remote or work-from-home position) Schedule: Full-time, Monday-Friday, 9:00 a.m ... Complete image processing, file organization, and metadata management tasks * Follow established ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Work-from-home employees cannot be the primary caregivers for children, other people, or pets while ... Must provide proof of requirements via image submission & video conference validation Working ...

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Work-from-home employees cannot be the primary caregivers for children, other people, or pets while ... Must provide proof of requirements via image submission & video conference validation Working ...

New

Work-from-home employees cannot be the primary caregivers for children, other people, or pets while ... Must provide proof of requirements via image submission & video conference validation Working ...

New

Work-from-home employees cannot be the primary caregivers for children, other people, or pets while ... Must provide proof of requirements via image submission & video conference validation Working ...

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From Home Image Annotation information

See Utah salary details

$6

$20

$46

How much do from home image annotation jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for from home image annotation in Utah is $20.96, according to ZipRecruiter salary data. Most workers in this role earn between $13.88 and $24.72 per hour, depending on experience, location, and employer.

What is a from home image annotation?

A From Home Image Annotation job involves labeling or tagging images with relevant information to train artificial intelligence (AI) and machine learning models. Annotators work remotely, using specialized tools to draw boxes, classify objects, or add descriptions to images. These tasks help improve AI systems for applications like self-driving cars, medical imaging, and facial recognition. No advanced technical skills are usually required, but attention to detail and accuracy are essential.

What are the typical daily responsibilities for a from home image annotation?

As a From Home Image Annotation professional, your day-to-day tasks involve reviewing digital images and tagging, labeling, or segmenting specific objects or features according to project guidelines. You'll often use specialized online annotation tools and may need to complete assigned image batches within set timelines. Communication with team leads or quality reviewers occurs through chat or project management systems, especially when clarifications are needed. Maintaining accuracy and consistency across annotations is critical, as this data is often used to train artificial intelligence systems. Depending on the project, you might also participate in brief virtual training sessions or feedback meetings.

What are the key skills and qualifications needed to thrive in the from home image annotation position, and why are they important?

To thrive as a From Home Image Annotation specialist, you need keen attention to detail, basic computer proficiency, and knowledge of image labeling processes. Familiarity with image annotation tools such as Labelbox, VGG Image Annotator, or proprietary client platforms is often expected, while formal certifications are rarely required. Strong time management, self-motivation, and the ability to follow detailed instructions are standout soft skills for this role. These skills ensure that annotations are accurate, consistent, and completed efficiently to meet project deadlines and quality standards.

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

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

What cities in Utah are hiring for From Home Image Annotation jobs?

Cities in Utah with the most From Home Image Annotation job openings:

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.