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Spanish (Guatemala) Audio Evaluator

Welo Data

Data Annotation & Labeling Freelancer
Guatemala Not specified May 19, 2026

Job description

This remote project focuses on evaluating Spanish (Guatemala) audio clips to help improve language and accent recognition systems.

Contributors will assess audio recordings for:

  • Accent authenticity
  • Regional speech patterns
  • Naturalness of pronunciation
  • Alignment with project evaluation guidelines

The work focuses specifically on accent recognition and audio evaluation and does not involve:

  • Audio transcription
  • Audio recording
  • Voice collection

Key Responsibilities

  • Listen to short Spanish (Guatemala) audio clips and evaluate them using defined scoring rubrics
  • Identify target regional accents accurately from provided audio samples
  • Compare recordings and determine which samples sound more natural relative to the target accent
  • Apply objective and consistent judgment using project evaluation guidelines
  • Maintain:
    • High-quality evaluations
    • Attention to detail
    • Timely task completion

Requirements

  • Native-level fluency in Spanish with strong understanding of:

    • Guatemalan regional accents
    • Dialects
    • Speech variations
  • Fluency in written and spoken English to understand:

    • Instructions
    • Evaluation criteria
    • Project documentation
  • Strong listening and audio differentiation abilities

  • Ability to recognize subtle accent and pronunciation differences

  • Ability to follow detailed evaluation guidelines consistently

Preferred Qualifications

  • Previous experience with:

    • Audio evaluation
    • Language quality assessment
    • Accent evaluation projects
  • Strong:

    • Attention to detail
    • Listening comprehension
    • Analytical judgment

Work Details

  • Fully remote
  • Location restricted to Guatemala
  • Project start: ASAP
  • Flexible freelance-style evaluation work

Additional Information

This project contributes to improving multilingual AI and speech systems through high-quality human evaluation of regional accents and spoken language naturalness.

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