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TELUS Digital

Media Search Analyst

TELUS Digital

Remote · Paruh Waktu

Jadilah yang pertama mendaftar

Pengalaman
Setiap
Gaji
Lowongan
1
Diposting
3 jam yang lalu
Mode kerja
Bekerja dari rumah
Kelayakan
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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Wajib mendaftar

Deskripsi pekerjaan

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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