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Sydney-based tech company Tiliter makes computer vision products that use the latest artificial intelligence to automatically and accurately identify objects. Working at the forefront of machine learning, we’re disrupting industry practices and creating the future now. Our mission is to make computer vision accessible to all and we believe that computer vision can change the world for the better.
Source: Great Place to Work® 2019 Australia National Employee Engagement Study
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To be eligible for the World’s Best Workplaces list, a company must apply and be named to a minimum of 5 national Best Workplaces lists within our current 58 countries, have 5,000 employees or more worldwide, and at least 40% of the company’s workforce (or 5,000 employees) must be based outside of the home country. Extra points are given based on the number of countries where a company surveys employees with the Great Place to Work Trust Index©, and the percentage of a company’s workforce represented by all Great Place to Work surveys globally. Candidates for the 2017 Worlds Best Workplaces list will have appeared on national workplaces lists published in September 2016 through August 2017.
ABOUT OUR METHOLOGY
The Best Workplaces in Asia List
Great Place to Work® identifies the top organizations that create great workplaces in the Asian and Middle Eastern regions with the publication of the annual Best Workplaces in Asia list. The list recognizes companies in three size categories:
To be considered for inclusion, companies must appear on one or more of our national lists in the region, which includes Greater China (covering China, Hong Kong, Taiwan and Macau), India, Japan, Saudi Arabia, Singapore, South Korea, Sri Lanka and UAE. For the 2021 Asia List, companies ranked on the national list in the Philippines will also be included. Multinational organizations must meet the following requirements:
Multinationals also receive additional credit for their efforts to successfully create an excellent workplace culture in multiple countries in the region. The data used in the calculation of the regional list comes from national lists published in 2019 and early 2020.