Online Data Analyst - Urdu Speakers - Fresher

About the roleThis is a part-time, work-from-home opportunity focused on improving the quality and usefulness of digital map data used by people worldwide. The work is suitable for freshers and does not require prior professional experience.What you will doCarry out research and review activities in a browser-based environment.Check, compare, and validate information to judge whether data is relevant and accurate.Support a project that helps make digital maps more reliable and useful.Take on different kinds of tasks, including map-related work, news content review, audio tasks, and information relevance checks.Assessment and selectionYou must complete an open-book exam to be considered for the role.Identity verification is also required during the selection process.Guidance and learning material will be shared before the exam.The exam has to be finished within a set period, but you can complete it at a time that suits you.Who can applyCandidates must be able to work from 8:00 am to 12:00 pm Indian Standard Time.Applicants should be living in India and have done so for the past 5 years.This is open to people with no prior experience, provided they meet the basic criteria and pass the evaluation process.RequirementsStrong reading and writing ability in Urdu, along with basic English skills.Familiarity with current and historical business, media, sports, news, social media, and cultural topics in India.Comfort using search engines, online maps, and websites for research.Ability to follow instructions carefully and work on different task types as needed.Access to a broadband internet connection, a computer, and the required software on a daily basis.Willingness to work on a long-term, part-time project where work quality will be reviewed throughout the contract.CompensationThe role offers a yearly pay range of INR 4,50,000 to INR 4,60,000.About the companyTELUS International AI-Data Solutions works with a global community to improve AI and machine learning models. Its AI community supports a broad range of data types, including text, images, audio, video, and geo data, across more than 500 languages and dialects. The company provides flexible remote opportunities for people who enjoy working with languages.