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Remote Household Data Specialist, Video Capture (Vietnam)

$12–$13/hr

RemoteRemote, Vietnam-based.Contracttechnology
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About this role

Help create training data for personal robotics by recording everyday household activities with a UMI gripper, a wearable device designed to mimic a robot hand while allowing natural movement.

Key Responsibilities
  • Capture and submit high-quality, specification-compliant videos of household tasks using a UMI gripper.
  • Follow detailed, task-specific recording instructions and project quality standards.
  • Set up and operate the recording equipment and wearable device to accurately demonstrate real-world hand movements.
  • Review reviewer feedback and refine recordings and processes to improve data quality.
  • Communicate proactively and clearly with the customer project team in writing and verbally.
  • Maintain a consistent weekly workflow that meets minimum approved-data requirements.
Qualifications
  • Strong attention to detail and the ability to follow complex specifications precisely.
  • Manual dexterity and experience performing precise physical tasks in varied household settings.
  • Comfort using, wearing, and setting up specialized devices and video-recording equipment.
  • Ability to incorporate feedback and make iterative improvements.
  • Strong written and verbal communication skills and openness to timely feedback exchanges.
  • Reliable access to a fully equipped household in Vietnam, including a kitchen, living spaces, and common household items.
  • Stable, high-speed home internet capable of uploading large video files.
  • Comfort with prolonged VR-headset use as part of the regular work environment.
Preferred Qualifications
  • Interest in personal robotics, AI, and emerging home technology.
  • Experience with data collection, usability studies, or similar hands-on projects.
  • Patience for repetitive, precision-focused work and adaptability as project needs change.
Work Terms
  • Remote independent-contractor engagement for candidates based in Vietnam.
  • This is a pay-per-task project, with payment based on approved data that meets project specifications.
  • Early in the project, plan for roughly two hours of review work for each hour of approved data; this ratio typically improves with familiarity.
  • Selected candidates should be ready to begin their first task promptly after moving forward in the application process.
Compensation
  • Hourly compensation is 12 to 13.
  • An initial rate applies during the pilot phase, with an improved rate after calibration once consistent quality benchmarks are met.

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