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Maps Personalization Relevance Rater - English (UK)

šŸ‡¬šŸ‡§ United Kingdom

Machine Learning

Maps Personalization Relevance Rater - English (UK)

from šŸ‡¬šŸ‡§ United Kingdom

Contract type: Freelance
Language: English (UK)
Estimated volume: 1 time only participation
Start date: To be confirmed
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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.
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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.
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š—œš—³ š˜†š—¼š˜‚ā€™š—æš—² š˜€š—¼š—ŗš—²š—¼š—»š—² š˜„š—µš—¼:
āœ…Notices when recommendations actually make sense
🧠Thinks critically about usefulness, intent, and context
šŸ–„ļøCares about accuracy in digital experiences
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This project is built for you.
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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 you’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 usedGmail account with prior usage history onGoogle Maps inside UK.
  • Participation is limited to asingle project round due to the nature of the task
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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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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by @maxrusakovic