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Video Annotator Jobs (NOW HIRING)

Video Analysis: Carefully review and annotate video footage to identify traffic events and potential violations. * Data Verification: Accurately record and confirm detailed violation data extracted ...

Video is annotated via a semi-automated process (1. automated processing using C-Vision tools, 2. human-in-the-loop review and correction, 3. data review and QA/QC, 4. data output/ingest into GCRF ...

... annotator agreement, spot checks, golden sets) • Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs) Company : Dyna Robotics develops ...

Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets) * Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs ...

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Video Annotator information

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$22

$28

$33

How much do video annotator jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for video annotator in the United States is $28.92, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $30.53 per hour, depending on experience, location, and employer.

What is a video annotator?

Video annotators are professionals who label, tag, or mark specific objects, actions, or events within video footage. Their work is essential for training machine learning models, particularly in computer vision tasks like object detection, tracking, and activity recognition. Video annotators use specialized software tools to frame-by-frame identify and classify elements, ensuring data accuracy for AI applications such as autonomous vehicles, security surveillance, and sports analytics.

What are the key skills and qualifications needed to thrive as a video annotator, and why are they important?

To thrive as a Video Annotator, you need attention to detail, strong visual perception, and familiarity with annotation guidelines, typically supported by a high school diploma or relevant experience. Proficiency in annotation software such as CVAT, Labelbox, or VGG Image Annotator, as well as basic computer skills, is often required. Strong communication, time management, and the ability to follow instructions precisely make someone stand out in this position. These skills ensure high-quality, consistent data labeling that is critical for training accurate machine learning and AI models.

What are some common challenges faced by video annotators and how can they be managed?

Video Annotators often encounter challenges such as maintaining high accuracy while labeling large volumes of video data and handling repetitive tasks that can lead to fatigue. Additionally, interpreting ambiguous scenes or adhering to nuanced annotation guidelines can be tricky. To manage these challenges, it's important to take regular breaks, maintain open communication with team leads for clarification, and use annotation tools efficiently. Collaborating with peers and participating in quality assurance reviews can also help ensure consistency and accuracy in the annotations.

What is the difference between Video Annotator vs Video Labeler?

AspectVideo AnnotatorVideo Labeler
CredentialsBasic computer skills, attention to detailSimilar credentials, often with familiarity in labeling tools
Work EnvironmentRemote or on-site, working with video dataSimilar, often in data annotation teams
Industry UsageMedia, AI training, content moderationAI development, machine learning datasets
Job FocusAnnotating video content, drawing bounding boxes, taggingLabeling video segments, categorizing actions

Video Annotators and Video Labelers perform closely related tasks in video data preparation for AI and machine learning. While both roles involve working with video content, Video Annotators focus on detailed annotation like bounding boxes and tagging, whereas Video Labelers typically categorize and segment videos for training datasets. Both roles require similar skills and are often found in AI, media, and tech industries.

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What are popular job titles related to Video Annotator jobs?

For Video Annotator jobs, the most frequently searched job titles are:

Infographic showing various Video Annotator job openings in the United States as of September 2026, with employment types broken down into 42% Full Time, 25% Part Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $60,160 per year, or $28.9 per hour.

Video Data Annotator

Salt Lake City, UT • On-site

$22 - $24/hr

Full-time

Posted 18 days ago


Key responsibilities

  • Review and annotate video footage to identify traffic events and potential violations.

  • Record and confirm detailed violation data extracted from video content.

  • Participate in team meetings and training sessions to maintain high-quality standards.


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.
About the Role:
This role is not a typical data entry position. We are looking for candidates who can critically analyze video footage, accurately identify traffic incidents, and provide actionable data. Your insights will directly contribute to enhancing our AI tools and improving public safety.
What You'll Do
  • Video Analysis: Carefully review and annotate video footage to identify traffic events and potential violations.
  • Data Verification: Accurately record and confirm detailed violation data extracted from video content.
  • Confidentiality: Uphold strict data privacy and confidentiality protocols in line with company guidelines.
  • Continuous Improvement: Provide constructive feedback to refine our data annotation tools and processes.
  • Collaboration: Actively participate in team meetings and training sessions to maintain high-quality standards.

What We're Looking For
  • Education: High school diploma or equivalent required; additional education or technical training is a plus.
  • Experience: Prior experience in data review, video analysis, or a related field is highly valued.
  • Attention to Detail: Exceptional precision and the ability to spot subtle discrepancies in complex data sets.
  • Tech-Savvy: Quick to learn and adept with new tools and technologies.
  • Work Ethic: Demonstrated ability to work independently while effectively collaborating within a team.
  • Time Management: Proven capacity to manage time efficiently and meet strict deadlines.

Job Details
  • Employment Type: Full-time, hourly, benefits eligible
  • Compensation: $22-$24 per hour
  • Expected Hours: 40 + overtime as needed
  • Location: On-site in Salt Lake City, UT

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.