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Welo Global

Posted 4 months ago

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Maps Personalization Relevance Rater - English (UK)

United KingdomRemoteContract

AI Summary

A contract freelance role evaluating personalized search relevance for places (e.g., restaurants) in the UK. The rater reviews queries and results, judging relevance and usefulness per defined guidelines.

About this role

Contract type: Freelance
Language: English (UK)
Estimated volume: 1 time only participation
Start date: To be confirmed
The project runs on a weekly basis. Eligible candidates will be added to a pool of certified raters and contacted at least 48 hours before kickoff.
We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.
๐—œ๐—ณ ๐˜†๐—ผ๐˜‚โ€™๐—ฟ๐—ฒ ๐˜€๐—ผ๐—บ๐—ฒ๐—ผ๐—ป๐—ฒ ๐˜„๐—ต๐—ผ:
โœ…Notices when recommendations actually make sense
๐Ÿง Thinks critically about usefulness, intent, and context
๐Ÿ–ฅ๏ธCares about accuracy in digital experiences
This project is built for you.
What you will do:
Review search queries with results personalized based on your activity history
Evaluate suggested places (e.g., restaurants or locations) related to places youโ€™ve previously visited
Rate whether the suggested places are relevant and useful
Follow project guidelines and complete tasks accurately

Requirements:

  • Based in the United Kingdom
  • An existing, actively used Gmail account with prior usage history on Google Maps inside UK.
  • Participation is limited to a single project round due to the nature of the task
  • Please note: this project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation.

    Skills

    Consent ProceduresData LabelingGmail Account UsageGoogle Maps Navigation/historyOnline Project ParticipationQuality ReviewTask Guidance AdherenceUK-based Familiarity

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