Description

We are seeking detail-oriented individuals for the annotation teams to support a large-scale audio preference evaluation and music annotation initiative. The role involves listening to one original audio sample and two synthesized versions, evaluating quality, selecting the best version, and providing structured qualitative feedback. This work will directly contribute to improving next-generation music synthesis and audio AI systems.

Key Responsibilities

• Audio Preference Evaluation:
• Listen to 1 original audio version and 2 synthesized versions of the same content.
• Compare and rate the three samples based on defined criteria such as:
• Audio quality and clarity
• Naturalness and realism
• Musical fidelity
• Artifacts or distortions
• Select the best version among the synthesized outputs.
• Provide clear, concise written remarks explaining the selection.
• Follow standardize...