1

Manager Video Annotation Jobs (NOW HIRING)

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

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

Video Content Reviewer - Remote

New York, NY · Remote

$137K/yr

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

New

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

New

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

New

next page

Showing results 1-20

Manager Video Annotation information

See salary details

$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.

More about Manager Video Annotation jobs

What cities are hiring for Manager Video Annotation jobs?

Cities with the most Manager Video Annotation job openings:

What are the most commonly searched types of Video Annotation jobs?

The most popular types of Video Annotation jobs are:

What states have the most Manager Video Annotation jobs?

States with the most job openings for Manager Video Annotation jobs include:

What other helpful pages are available for Manager Video Annotation?

Other pages related to Manager Video Annotation:

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.

Video Annotation Specialist

Remote

EVB
Marketing • 11 - 50 employees

Contractor

Posted 5 days ago


Job description

Company Description
Job Description
  • Job Title: Video Annotation Specialist
  • Job Type: Contractor
  • Location: Remote USA based

About the hiring company:
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.
The company works with highly accomplished professionals in fields such as software engineering, finance, healthcare, legal, operations, research, and other specialized domains. These experts contribute directly to the development of advanced AI systems by providing real-world knowledge, evaluations, feedback, and domain-specific judgment that help models reason more accurately and perform more effectively.
Leveraging a proprietary AI-driven talent assessment and matching platform, the organization identifies exceptional professionals globally and connects them with high-impact projects at the forefront of artificial intelligence.
Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy and creating meaningful opportunities for professionals to apply their expertise in entirely new ways.
Job Summary:
Engaging expert Video Annotation professionals to contribute to a project focused on reviewing and annotating videos of robotic arms performing designated tasks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This engagement centers on precise video review and annotation according to detailed grading guidelines. High attention to detail and a strong sense of self-organization are essential, and a background in AI training projects is highly preferred.
Scope of Work
  1. Review video footage of robotic arms executing assigned tasks to identify key actions and outcomes.
  2. Apply detailed grading guidelines to accurately tag and annotate events within the video sessions.
  3. Utilize video annotation tools and platforms to record structured observations and support data labeling efforts.
  4. Collaborate with project trainers and other contributors to resolve ambiguities and ensure annotation consistency.
  5. Document findings and submit annotated datasets in alignment with project standards and milestones.
  6. Communicate progress, challenges, and insights promptly using both written and verbal channels as required.
  7. Participate in ongoing quality reviews to maintain high annotation standards and address feedback.

Preferred Qualifications
  1. Proven experience with video annotation, data labeling, or similar data-centric annotation projects.
  2. Exceptional attention to detail and accuracy in reviewing and tagging visual data.
  3. Strong written and verbal communication skills for effective collaboration and reporting.
  4. Demonstrated time management and self-organization abilities for independent project participation.
  5. Familiarity with video annotation tools and software platforms.
  6. Background in AI training, machine learning data preparation, or robotics projects (strongly preferred).
  7. Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges.

Qualifications
Additional Information
A very attractive and competitive package is offered.