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micro11MO AGO

Data Annotator - Video Content

micro1 / Data Annotator - Video Content

RATE

$10 - $12/HR

LOCATION

REMOTE (GLOBAL)

DESCRIPTION

Role Title: Data Labeling Associate - Video Content Role Type: Contractor Location: Remote, worldwide micro1 is engaging Data Labeling Associate - Video Content experts to contribute to a high-impact project for a valued customer. 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. Scope of Work • Review and annotate short first-person POV videos depicting household tasks, focusing on precise and consistent labeling. • Identify and mark hamper position as left or right of the person for each video segment. • Determine and tag the exact start and end frames for each pick-and-place movement within the video. • Assign and record which of the seven numbered piles each clothing item is placed into. • Adhere strictly to detailed annotation guidelines provided during onboarding and throughout the engagement. • Maintain high quality and consistency across multiple videos within each session, ensuring accurate, actionable data for AI training. • Flag ambiguous, unclear, or unusual cases for further review in accordance with project standards. Preferred

REQUIREMENTS

  • Exceptional visual discrimination skills and a keen eye for subtle details and frame-level changes.
  • Proven ability to follow complex instructions with precision and incorporate feedback promptly.
  • Experience with web-based video tools, such as playback controls, frame stepping, and timestamp-based interfaces.
  • Strong focus and consistency in performing repetitive, detail-oriented tasks across multiple assignments.
  • Reliable high-speed internet connection and a computer suitable for smooth video playback.
  • Nice to Have (but not required)
  • Prior experience in video annotation, data labeling, transcription, content moderation, or QA work
  • Familiarity with any annotation platform (CVAT, Labelbox, Scale, V7, Encord, or similar)

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