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Manager Video Annotation Jobs (NOW HIRING)

Familiarity with video annotation tools. * Good written communication and collaboration skills. * Strong time-management and organizational abilities. * Experience with AI, machine learning, or ...

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Demonstrated time management and self-organization abilities for independent project participation. * Familiarity with video annotation tools and software platforms. * Background in AI training ...

$120K - $155K/yr

Oversee and improve image and video annotation workflows, including task setup, guideline creation ... Experience managing external annotation vendors or distributed annotation teams. $120,000 - $155 ...

AI Solutions Engineer

Washington, DC ยท On-site

$75 - $80/hr

SAM 2 or equivalent foundation model integration for computer vision or video annotation * Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation ...

Video annotation, review, and data QA/QC of ROV-based footage. * Management of review and tracking sheets; updating project management tools and annotation tracking sheets. Task #3 - Data Management ...

Video annotation, review, and data QA/QC of ROV-based footage. * QA/QC and review of data entry. * Management of review and tracking sheets. * Updating project management tools for status updates.

Showing results 21-40

Manager Video Annotation information

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$25K

$74.6K

$160.5K

How much do manager video annotation jobs pay per year?

As of Sep 12, 2026, the average yearly pay for manager video annotation in the United States is $74,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Video Annotation vs Data Labeling Specialist?

AspectManager Video AnnotationData Labeling Specialist
CredentialsTypically requires experience in project management, familiarity with annotation tools, and sometimes a degree in related fieldsOften requires attention to detail, familiarity with labeling software, and basic technical skills
Work EnvironmentLeads teams, manages projects, and oversees annotation workflowsPerforms labeling tasks, often working independently or in small teams
Industry UsageCommon in AI/ML companies, tech firms, and research institutionsUsed across similar industries for preparing training data for machine learning models

The main difference is that a Manager Video Annotation oversees annotation projects and manages teams, while a Data Labeling Specialist focuses on executing labeling tasks. Managers handle planning and quality control, whereas specialists perform the detailed annotation work.

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Cities with the most Manager Video Annotation job openings:

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What other helpful pages are available for Manager Video Annotation?

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Infographic showing various Manager Video Annotation job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $74,626 per year, or $35.9 per hour.

Data Labeling Expert - Remote

New York, NY โ€ข Remote

Full-time

Posted 2 days ago

New


Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.