Video Annotation Specialist

Review and classify video segments using clear rubrics and digital annotation tools. This part-time contract role pays $15 to $25 per hour and is open in many countries.

Remote Hourly · $15–$25/hr

$15–$25/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 52 countries

United States

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

You will review video content and label segments so AI systems can learn from visual examples. The work requires careful decisions, consistent use of project rules, and clear communication about your annotations.

• Review video segments and apply tags, labels, and classifications.
• Follow detailed annotation guidelines and evaluation rubrics.
• Record annotation decisions clearly in writing and conversation.
• Use digital annotation tools and adapt to new interfaces.
• Work with project leads and quality reviewers to clarify requirements.
• Complete annotations by agreed milestones and suggest process improvements.

This is a part-time contractor role for someone with video annotation or comparable data-labeling experience. Video editing experience is not required.

• Pay: $15 to $25 per hour.
• Location:
  
  Open to candidates in the countries listed for this role, including the United States, Canada, the United Kingdom, India, Japan, and Vietnam.
• Skills:
  
  Strong attention to detail, written and verbal communication, and the ability to follow detailed instructions.
• Tools:
  Proficiency with digital annotation tools or related software.
• Work style:
  Adaptability as project requirements change, willingness to seek clarification, and ability to meet project timelines.

AI training is the human work behind systems that learn from examples. Contributors label and review material such as video, text, and audio so models can recognize patterns and produce better results.