Video Annotation & Data Labeling Specialist

Accountabilities

• • Write objective, concise 1–2 sentence summaries of video sequences using simple and accurate English.
  • Segment videos into clearly defined, action-based sequences without gaps or overlaps.
  • Label and describe only actions that are directly and visually verifiable in the video.
  • Use simple present tense and consistent terminology when creating annotations.
  • Review AI-generated captions and identify or correct inaccuracies, inconsistencies, and unclear descriptions.
  • Follow project-specific annotation guidelines precisely to ensure consistency across datasets.
  • Maintain a high level of accuracy and productivity while completing assigned annotation batches.
  • Complete the required onboarding and certification activities, including reviewing guidelines, practicing with the annotation platform, and successfully completing five certification tasks.
  • Apply feedback from quality reviews to continuously improve annotation accuracy and consistency.

  Requirements

  • No previous professional experience in data annotation or AI is required; beginners are welcome.
  • Strong attention to detail and the ability to identify specific actions and events in video content.
  • Ability to describe only what is visibly observable without making assumptions, interpretations, or unsupported conclusions.
  • Strong written English skills with the ability to produce clear, concise, and objective descriptions.
  • Ability to consistently follow detailed instructions, annotation guidelines, and quality standards.
  • Commitment to maintaining a target benchmark of 95%+ accuracy.
  • Strong organizational skills and the ability to manage repetitive tasks while maintaining accuracy and focus.
  • Ability to learn new annotation tools and workflows quickly.
  • Reliable availability for 25–40 hours per week for long-term data annotation projects.
  • Willingness to complete an approximately 3-hour certification and onboarding process before entering paid production work.

  Benefits

  • Compensation of $2.00–$5.00, depending on verified quality and productivity.
  • 25–40 hours per week of dedicated, long-term data annotation opportunities.
  • No prior professional experience required, with beginners encouraged to apply.
  • Structured onboarding, training materials, and practical experience with an annotation platform.
  • Certification process designed to prepare contributors for paid production work.
  • All certification hours are paid once you begin performing production tasks.
  • Priority access to advanced and higher-paid projects based on successful performance.
  • Opportunity to gain practical experience contributing to AI model development and verification.
  • Long-term project opportunities for consistent, high-quality contributors.