Research Participant – Smart Glasses Development for People with Hearing Loss

Reposted 4 Days Ago
Be an Early Applicant
Hiring Remotely in New Jersey, USA
Remote
Entry level
Artificial Intelligence • Automotive • Information Technology • Robotics
The Role
Participate in testing and providing feedback on a smart glasses prototype aimed at improving accessibility for people with hearing loss.
Summary Generated by Built In
Overview:
 
We are conducting a research study aimed at improving smart glasses technology for people with disabilities, specifically those with hearing loss. We are looking for individuals with low to moderate hearing loss to participate and help us test and provide feedback on our smart glasses prototype.

Who We’re Looking For:

  • Adults (18 years or older) with mild to moderate hearing loss
  • Comfortable using wearable technology or open to trying it
  • Able to provide feedback and participate in a guided user experience session
  • No prior experience with smart glasses needed
  • Up to 3 hours of active commitment

What You’ll Do:

  • Wear and interact with a prototype of smart glasses
  • Complete tasks or activities while using the device
  • Share your experience and provide feedback in a short interview or survey

Why Participate:

  • Be part of a project that advances accessibility and inclusive technology
  • Your input will directly influence how we design assistive devices for the Deaf and hard of hearing community
  • Receive compensation for your time and effort

Skills Required

  • Adults 18 years or older with mild to moderate hearing loss
  • Comfortable using wearable technology
  • Able to provide feedback during guided user experience session
  • No prior experience with smart glasses needed
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The Company
HQ: Warsaw
350 Employees
Year Founded: 2017

What We Do

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. They serve as an operations partner for AI, robotics, and autonomous programs, managing complex data collection and field operations across markets. Their teams count features, take pictures, record speech, and scan areas to provide high-quality data where automation is not possible, supporting clients in making informed decisions.

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