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Maps Personalization Relevance Rater - Spanish (Mexico)

Welo Data

Data Annotation & Labeling Freelancer · Part-time Short-term
Mexico $16 – $16/hr May 19, 2026

Job description

This freelance project focuses on evaluating personalized search and location recommendations in Google Maps for Spanish-speaking users in Mexico.

Contributors will help assess how relevant and useful AI-generated recommendations are based on a user’s activity history and contextual signals.

The role is designed for people who:

  • Notice when recommendations genuinely make sense
  • Think critically about relevance, usefulness, and intent
  • Care about accuracy in digital experiences

Key Responsibilities

  • Review search queries with personalized recommendation results

  • Evaluate suggested places such as:

    • Restaurants
    • Businesses
    • Locations
    • Previously related places
  • Assess whether recommendations are:

    • Relevant
    • Useful
    • Contextually appropriate
  • Follow detailed project guidelines and complete rating tasks accurately

  • Provide consistent evaluations based on project quality standards

Requirements

  • Must be located in Mexico
  • Must have authorization to work in Mexico
  • Existing actively used Gmail account with prior Google Maps usage history required
  • Ability to follow structured evaluation guidelines carefully
  • Strong:
    • Attention to detail
    • Analytical thinking
    • Judgment skills

Participation Notes

  • Participation is limited to a maximum of 3 project rounds
  • Task availability is dynamic and project rounds may vary over time
  • This project requires participant consent for limited access to elements of Google activity history
  • A consent form will be provided before participation

Work Details

  • Freelance contract

  • Fully remote

  • Estimated workload:

    • Approximately 8–10 hours per project cycle
  • Ongoing weekly project schedule

  • Recently published opportunity

Compensation

  • $16 USD/hour

Additional Information

The hiring process may involve AI-assisted recruitment tools for:

  • Resume review
  • Application analysis
  • Response evaluation

Final hiring decisions are made by human reviewers.

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