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Join a dynamic and innovative team as an Online Data Analyst, where you can work from home at your own pace. This part-time opportunity focuses on enhancing the quality of digital maps used globally. You'll engage in research and evaluation tasks, verifying data accuracy and relevance. No prior experience is necessary, making this an accessible role for those passionate about geography and technology. Become part of a vibrant community that supports machine learning models for leading brands and contribute to meaningful projects that impact millions worldwide.
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.
In this role, you will work on a project aimed at enhancing the content and quality of digital maps used by millions worldwide.
Your tasks will include completing research and evaluation tasks in a web-based environment, such as verifying and comparing data, and assessing the relevance and accuracy of information.
Join us today and be part of a dynamic and innovative team making a difference in the world!
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.
No previous professional experience is required to apply. However, applicants must pass basic requirements and a standard assessment process. This is a part-time, long-term project with quality assurance checks throughout the engagement.
Applicants will complete an open-book qualification exam and ID verification. Guidelines and learning materials will be provided. The exam must be completed within a specified timeframe, at your convenience.
We are committed to diversity and inclusion. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Selection is based on qualifications, merits, and performance.