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Record Your Daily Routine and Get Paid - AI Data Collection (Remote)

Toloka Annotators

Remote · Tempo parcial

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Experiência
Qualquer
Salário
Vagas
1
Publicado
há 1 semana
Modo de trabalho
Trabalhe em casa
Retomar
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Descrição da vaga

Overview

This project involves capturing first-person point-of-view videos of everyday household tasks to support AI and robotics training. Participants will record their daily routines at home or in their personal spaces using a smartphone mounted near eye level. This is not a traditional job but a flexible project-based opportunity with no fixed schedule or required commitment.

Key Responsibilities

  • Film routine household activities such as cooking, cleaning, laundry folding, gardening, and walking pets, all captured from your personal vantage point.
  • Conduct recordings within your home, yard, garage, or workspace.
  • Adhere to provided brief guidelines for each recording session.
  • Upload completed videos using the official project mobile application.

Requirements

  • Possess or have access to a smartphone or compatible camera capable of recording at 30 frames per second or higher and offering 1080p resolution or above. Recommended devices include iPhone 12 or later, Google Pixel 6 or newer, or Samsung Galaxy S21 or upwards, equipped with a wide-angle (0.5x) lens.
  • Device must be mounted on the forehead or eye level to provide an egocentric perspective, with a downward angle to clearly show hand movement.
  • Use the designated "D&A" app exclusively for capturing and uploading footage.
  • Ensure videos are clear, stable, well-lit, at least 15 seconds in duration, and depict genuine, purposeful activities without excessive pauses or artificial gestures.

Additional Information

  • This freelance opportunity enables you to earn money while performing your everyday household chores, offering up to approximately $10 per hour based on the project.
  • As a project-based role, you may choose recording sessions according to your convenience and availability.
  • Your contributions will assist in advancing AI systems and robotic understanding of realistic human-object interactions in daily environments.

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