Object Tester

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Object Tester

Summary:

Reporting to Engineering the object tester helps us improve and train our AI-based threat detection systems by replicating real-life scenarios in our lab. To train our systems effectively we need to do thousands of walkthroughs using a variety of people and objects. These objects include benign items such as laptops phones and keys as well as imitation weapons such as guns and knives.

Responsibilities:

Perform repeated walkthroughs while carrying a range of test items primarily through a series of pillars around 20/6m in height. The tester must maintain a consistent walking speed throughout.
Accurately operate from a checklist making sure every walkthrough is consistent with its requirements.
Maintain and organize the objects used for testing.
Contribute feedback to improve testing procedures.

Requirements:

Able to walk continuously and consistently for long periods of time while carrying objects that weigh up to 8lbs/3.5kg. We provide breaks and there are chairs to rest but this role requires a lot of walking.
Strong attention to detail and the ability to follow instructions precisely.

Xtract One provides a safe and friendly environment for people to work in. Appropriate safety measures are followed according to federal provincial and local guidelines. PPE (non-surgical masks gloves hand sanitizer) are available and provided on site.

Xtract One is committed to creating an inclusive accessible work environment and providing accommodation for individuals with disabilities in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. If you require accommodation at any stage of the recruitment process or while employed with us please notify Human Resources at and we will work with you to meet your needs.

Object TesterSummary:Reporting to Engineering the object tester helps us improve and train our AI-based threat detection systems by replicating real-life scenarios in our lab. To train our systems effectively we need to do thousands of walkthroughs using a variety of people and objects. These object...