Physical AI Expert

TELUS International

United States

A distancia

USD 65.000 - 90.000

Jornada completa

Hace 12 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

TELUS Digital is seeking a Robot Teleoperator to remotely control robots and record wearable-sensor demonstrations for real-world data collection. You will help teach robots to fold, sort, pack, and handle objects safely, contributing to physically intelligent AI research.

In this role, you will perform teleoperated demonstrations, conduct wearable-capture sessions, review recordings for quality, and report issues to improve capture setups and tools.

Responsabilidades

  • Perform teleoperated demonstrations of household and workplace tasks following detailed collection protocols.
  • Complete wearable-capture sessions using smart glasses, hand-tracking sensors, or handheld devices when required.
  • Review your own recordings, flag failed or incomplete attempts, and re-record to meet quality standards.
  • Report hardware, latency, and synchronization issues so collection setups keep improving.
  • Provide feedback on task design and the usability of capture tools.

Descripción del empleo

About the Role: At TELUS Digital, we are teaching robots to move with human-like skill. As a Robot Teleoperator in our AI Community, you are at the forefront of Physical AI. You will control robots remotely and record wearable-sensor demonstrations of everyday tasks, creating the real-world data that teaches robots to fold, sort, pack, and handle objects safely and reliably. At TELUS, you are helping our community give AI a truly human touch.

Key Responsibilities:

  • Perform teleoperated demonstrations of household and workplace tasks (folding, sorting, packing, tidying, object handling) following detailed collection protocols.
  • Complete wearable-capture sessions using smart glasses, hand-tracking sensors, or handheld devices when required.
  • Review your own recordings, flag failed or incomplete attempts, and re-record to meet quality standards.
  • Report hardware, latency, and synchronization issues so collection setups keep improving.
  • Provide feedback on task design and the usability of capture tools.
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