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Personalized Internet Ads Assessor - English (US) | |||||||||||||||||||||||||||||||||
Description:
In this role, you will be reviewing online advertisements by rating them on their relevance to the search terms used as well as providing feedback on their language and cultural relevance in order to improve their content, quality, and layout Your ultimate goal will be to contribute towards making internet search and online advertising more relevant and interesting for millions of users, including yourself.
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.
In order to be hired into the program, you'll be required to take an open book qualification exam that will determine your suitability for the position. You will also be required to complete and pass an ID verification process. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your own convenience!
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.
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity |