In-Home UX Field Technician & Research Assistant

User Research International; Washington (District of Columbia); Vor Ort; USD 40.000 - 60.000; Vollzeit

Benefits dieser Stelle

Mileage Reimbursement Included

Zusammenfassung

User Research International is seeking a Field Research Assistant to support UX research and data collection by traveling to homes and real-world environments to install, configure, test, and troubleshoot research equipment. The role blends hands-on technical work with participant interaction and strict confidentiality to ensure high-quality data collection.

The ideal candidate is technically capable, detail-oriented, and comfortable working independently in the field.

Qualifikationen

• Comfortable setting up Wi‑Fi and consumer electronics.
• Able to follow detailed instructions consistently.
• Must be in WA state.
• Professional and comfortable working in participants’ homes.
• Reliable transportation and ability to travel locally.
• Possess a current, state issued drivers license.
• Comfortable driving around the Seattle area.
• Possess a working, dependable vehicle.
• Dependable, organized, and able to communicate clearly.
• Previous technical experience is helpful but not required.

Aufgaben

• Travel to scheduled participant homes.
• Set up a Wi-Fi router, three connected devices, and a mobile phone.
• Follow a simple step-by-step setup guide.
• Confirm all devices are connected and working properly.
• Document device placement and completion of the setup.
• Handle research equipment carefully and maintain confidentiality.
• Contact the project team if technical issues arise.

Kenntnisse

Wi-Fi setup

Device setup

Independent field work

Communication

Attention to detail

Confidentiality

Tools

Wi‑Fi router

Home networking equipment

Jobbeschreibung

User Research International is seeking a Field Research Assistant to support UX research and data collection by traveling to homes and real-world environments to install, configure, test, and troubleshoot research equipment. The role blends hands-on technical work with participant interaction and strict confidentiality to ensure high-quality data collection.

The ideal candidate is technically capable, detail-oriented, and comfortable working independently in the field.