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TELUS Digital

Media Search Analyst

TELUS Digital

Remote • Teilzeit

Bewerben Sie sich als Erste/r!

Erfahrung
Beliebig
Gehalt
Stellenangebote
1
Veröffentlicht
vor 5 Stunden
Arbeitsmodus
Arbeiten von zu Hause
Teilnahmeberechtigung
English speakers currently living in New Zealand who have resided there for the past year and can provide the required Apple account/device access and verification.
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Bewerbung erforderlich

Stellenbeschreibung

Role Overview

This opportunity is for English speakers based in New Zealand who want flexible, independent work rather than a fixed 9-to-5 routine. The role involves evaluating online media-related content using a web-based assessment platform, with the freedom to choose your own schedule.

What the Role Involves

  • Review a wide mix of media formats such as music, books, podcasts, videos, and similar content.
  • Check app store material to judge whether search results are accurate and relevant.
  • Use your understanding of local culture and market trends to confirm what a user is likely looking for.

Why This Opportunity Stands Out

  • Become part of a global AI contributor network with more than 1 million members worldwide.
  • Help improve machine learning systems used by leading brands, without needing previous professional experience.
  • Earn additional income while benefiting from a highly flexible work arrangement.

Requirements and Assessment

  • You must have full professional-level English proficiency and have lived in New Zealand for the past year.
  • You should be familiar with local media, preferences, and current trends in New Zealand.
  • An active Apple ID email address is required.
  • You need access to an Apple device and a working knowledge of Apple products.
  • You must complete identity verification within the specified timeframe.
  • You will also need to pass an open-book qualification test using the provided guidelines.

Additional Information

This role is intended for people who can contribute from home in New Zealand, and it is designed around task-based, flexible participation. The work supports the development of digital media evaluation systems and broader AI training efforts.

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