Online Data Analyst (m/f) - German (DE)
O poslu
A Day in the Life of an Online Data Analyst:
In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide
Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.
• Better work-life balance
• Be your own boss
• Complimentary Well-Being package encompassing a wealth of well-being resources.
• Be part of an online community
O zaposleniku
• Being a resident in Germany for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Germany
• Ability to follow guidelines and conduct online research using search engines, online maps, and website information
• Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance
• Daily access to a broadband internet connection, computer, and relevant software
Qualification path
No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.
Assessment
In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.
TELUS Digital AI Community
Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.