Project Overview We are seeking independent Product Matching Specialists and data experts to provide their expertise for an e-commerce platform enrichment project.
Spanish (Guatemala) Audio Evaluator
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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