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An innovative opportunity awaits you as an Online Data Analyst, where your detail-oriented nature and passion for research will shine. This part-time role allows you to work flexibly from home, contributing to projects that enhance digital maps used globally. You’ll engage in verifying data, comparing information, and assessing accuracy, all while being part of a vibrant community of contributors. Join a forward-thinking team dedicated to making a significant impact in the AI space and enjoy the freedom to work at your own pace while supporting major brands with your insights.
Join to apply for the Online Data Analyst role at TELUS Digital AI Data Solutions.
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Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.
A Day in the Life of an Online Data Analyst:
Join us today and be part of a dynamic and innovative team making a difference in the world!
TELUS Digital AI Community
Our global AI Community is a vibrant network of over 1 million contributors from diverse backgrounds who help collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and support machine learning models for some of the world’s largest brands.
Qualification Path:
No prior professional experience is required, but passing basic requirements and a standard assessment process are necessary. This is a part-time, long-term project with standard quality assurance checks throughout.
Basic Requirements:
Assessment:
Applicants will take an open-book qualification exam and complete ID verification. Guidelines and learning materials will be provided. The exam must be completed within a specified timeframe but at your convenience.
All qualified applicants will be considered regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. TELUS Digital AI is committed to diversity and inclusion, basing decisions on qualifications, merits, and performance.