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Online Data Analyst - Hindi Speakers in India

Online Data Analyst - Hindi Speakers in India

ConfidentialIndia
21 days ago
Job description

Requirements

Description and Requirements

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.

Basic Requirements

  • Full Professional Proficiency in English and Hindi languages
  • Being a resident in India for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in India
  • 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
  • Daily access to a broadband internet connection, computer, and relevant software

Assessment

In order to be hired into the program, you'll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

Equal Opportunity

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.

Additional Job Description

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 :

  • In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide
  • Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.
  • Join us today and be part of a dynamic and innovative team that is making a difference in the world!

    TELUS Digital AI Community

    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.

    EEO Statement

    At TELUS International, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS International is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world&aposs largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.

    Equal Opportunity Employer

    At TELUS International, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.

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