Latvian Online Data Analyst (Part-time)

TELUS Digital AI Data Solutions

Nova Scotia

Remote

CAD 21,000 - 39,000

Part time

14 days+

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Job summary

A leading digital solutions company seeks a detail-oriented Online Data Analyst to contribute to enhancing digital map content. This freelance position offers the flexibility to work at your own pace from home. Candidates must be proficient in both Latvian and English, with a familiarity with Canadian cultural affairs. The role requires conducting online research and verification tasks as well as passing a qualification exam. Join a dynamic team and make an impact in AI models utilized by global brands.

Qualifications

  • Proficient in both Latvian and English languages.
  • Resident in Canada or familiar with Canadian affairs.
  • Able to use search engines and online maps for research.
  • Flexibility to work across maps, news, audio tasks, and relevance.
  • Daily access to broadband internet, computer, and relevant software.

Responsibilities

  • Enhance the content and quality of digital maps.
  • Verify and compare data for accuracy and relevance.

Skills

Full Professional Proficiency in Latvian
Full Professional Proficiency in English
Ability to conduct online research
Familiarity with Canadian cultural affairs
Flexibility to work across diverse tasks

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.

Qualification path

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 Latvian and English language
  • Being a resident in Canada or the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Canada
  • 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.

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.

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