Maps Personalization Relevance Rater - English (US)

Sorry, this job was removed at 04:09 a.m. (CST) on Monday, May 04, 2026
Hiring Remotely in United States
Remote
Machine Learning • Natural Language Processing
The Role
Contract type: Freelance
Hourly rate: $20.30
Language: English (US)
Estimated volume: 8 - 10 hours
Start date: 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.
 
𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼:
✅Notices when recommendations actually make sense
🧠Thinks critically about usefulness, intent, and context
🖥️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 you’ve previously visited
Rate whether the suggested places are relevant and useful
Follow project guidelines and complete tasks accurately

Requirements:

  • To be located and have the right to work in the United States.
  • An existing, actively used Gmail account with prior usage history on Google Maps.
  • 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.

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The Company
HQ: New York, NY
2,331 Employees
Year Founded: 1997

What We Do

Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 250,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our people work across offices in North America, Europe, and Asia serving our global clients in the markets that matter to them. • Global team of 2,100+ • Offices in North America, Europe and Asia • Quality Certifications: ISO 9001:2015, ISO/IEC 27001:2013, ISO 17100:2015, ISO 13485:2016, ISO 18587:2017 • Accredited professional translators and interpreters for 250+ languages www.welocalize.com

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