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TELUS Digital

Media Search Analyst

TELUS Digital

Lyttelton, Canterbury, New Zealand 兼职

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经验
任何
薪水
职位空缺
1
发布
1周前
工作模式
在办公室
合格
English speakers currently living in New Zealand who have resided there for the past year and can work with Apple devices and an Apple ID.
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职位描述

Role overview

Join a flexible media evaluation opportunity designed for English speakers living in New Zealand. In this role, you will support a web-based assessment program by reviewing media-related content and helping improve the quality and relevance of search results.

What the role involves

  • Review a wide range of media content, including music, books, podcasts, videos, and similar categories.
  • Check app store listings and search output to confirm that results are accurate and relevant.
  • Apply your local knowledge and understanding of the market to judge whether a search query matches the intended meaning.

Why this opportunity stands out

  • Become part of a large global AI contributor community with more than 1 million members worldwide.
  • Contribute to machine learning projects for major international brands, even if you do not have previous professional experience in this field.
  • Use your communication and analytical strengths to earn additional income while keeping a highly flexible schedule.

Eligibility and assessment

  • You must have full professional-level English proficiency and have lived in New Zealand for the last 12 months.
  • You should be familiar with local media, trends, and market context.
  • An active Apple ID email address is required, along with access to an Apple device and familiarity with Apple products.
  • You will need to complete identity verification within the specified timeframe and pass an open-book qualification test using the provided guidelines.

Additional information

This opportunity is aimed at people who want to move away from a fixed 9-to-5 routine and work with greater flexibility. The work is task-based and supported through an online evaluation tool.

About the impact

Your contributions will help improve the quality of digital media content and support ongoing AI and search evaluation efforts.

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