Online Data Analyst – TELUS Digital We are looking for a detail-oriented individual with a passion for research and a good understanding of national and local geography to join our AI Community as a part-time long-term project. A Day in the Life In this role, you will be working on a project aimed at enhancing the content and quality of digital maps used worldwide. Your work will involve completing research and evaluation tasks in a web-based environment, such as verifying and comparing data, and determining the relevance and accuracy of information.

Responsibilities

Conduct online research using search engines, online maps, and website information. Verify and compare data and assess its relevance and accuracy. Follow guidelines and complete quality assurance checks. Adapt to a diverse set of task types including maps, news, audio tasks, and relevance assessments.

Qualifications

Basic Requirements Full professional proficiency in Spanish and English. Resident in the U.S. for the last 2 consecutive years with familiarity with U.S. current and historical business, media, sport, news, social media, and cultural affairs. 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 assessments. Daily access to a broadband internet connection, computer, and relevant software. Assessment & Employment To be hired, you will take an open-book qualification exam and complete ID verification. Successful candidates will enter a contractual relationship. This position is a part-time contract. EEO Statement 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.