#49426 Video Annotation & Data Labeling Project

Accountabilities

• • Write concise 1–2 sentence summaries of video action sequences using simple, objective English and following strict annotation guidelines.
  • Segment video timelines into discrete, action-based sections, ensuring a minimum of 2–3 segments per task with no gaps or overlaps.
  • Create action labels using simple present tense and describe only actions that are directly and visually verifiable.
  • Review and edit AI-generated captions to ensure accuracy, consistency, and compliance with project guidelines.
  • Identify and correct inconsistencies or inaccuracies in automatically generated annotations.
  • Maintain a high level of annotation quality, targeting benchmark accuracy of 85–90% or higher.
  • Complete annotation workflows efficiently, with an expected productivity benchmark of approximately 4 minutes per minute of video.
  • Use keyboard shortcuts and established workflow tools to complete tasks efficiently.
  • Run required background screen-recording software during task execution.
  • Follow all project procedures, productivity expectations, quality standards, and certification requirements.
  • Maintain concentration and consistency throughout repetitive, detail-oriented annotation tasks.

  Requirements

  • Strong attention to detail and a demonstrated ability to identify subtle differences or inconsistencies in visual content.
  • Ability to describe only what is visibly observable without assumptions, interpretations, or inferred information.
  • Strong written English skills and the ability to communicate actions using clear, simple, and consistent language.
  • Ability to follow detailed guidelines precisely and apply the same rules consistently across a large volume of tasks.
  • Strong accuracy and quality orientation, with the ability to achieve and maintain an 85–90%+ benchmark accuracy level.
  • Ability to work efficiently toward productivity targets and complete a 1-minute video annotation workflow in approximately 4 minutes.
  • Comfortable learning and using keyboard shortcuts and structured digital workflows.
  • Ability to run background screen-recording software while completing assigned tasks.
  • Strong focus and discipline when working on repetitive, quality-sensitive activities.
  • Comfortable working independently within a structured, process-driven environment.
  • Willingness to complete an approximately 3-hour certification and onboarding process.
  • Ability to review training materials, complete practice tasks, and successfully pass 5 certification tasks within the required 4-minute-per-video time limit.

  Benefits

  • Competitive project-based rate of $2.00–$5.00 per hour, depending on verified quality and productivity.
  • One-time $10 bonus via PayPal after successfully completing the certification process.
  • Access to upcoming batches of paid annotation tasks after certification.
  • Priority access to more advanced and higher-paid AI data projects for successful contributors.
  • Structured onboarding with guidelines, training videos, practice tasks, and certification support.
  • Opportunity to build practical experience in AI data annotation, video understanding, model evaluation, and AI quality assurance.
  • Flexible task-based work within a long-term AI data project.
  • Payments processed securely through PayPal.