
Music Content Reviewer – AI Evaluation
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in Indonesia.
• Generate sophisticated music-related prompts spanning various disciplines and levels of complexity.
• Assess AI-generated outputs for their factual correctness, reasoning quality, comprehensiveness, and subtlety.
• Detect inaccuracies, outdated data, logical fallacies, and challenging edge cases.
• Authenticate assertions concerning music theory, artists, composers, genres, instruments, and production techniques.
• Create benchmark datasets and challenging test scenarios for evaluating models.
• Offer clear, objective, and evidence-based critiques supported by trustworthy references.
• Record findings and uphold high standards in annotation and evaluation.
• Work collaboratively with AI researchers and project teams to enhance model efficacy.
• Engage in calibration and quality review processes.
• A Master’s degree or higher in Music, Music Theory, Musicology, Composition, Music Production, Performance, or a closely related field.
• A minimum of 3 years of professional, research, or teaching experience in a music-related area.
• In-depth knowledge of music theory and at least one other domain such as music history, performance, composition, genres, instruments, or production.
• Capability to assess intricate music-related content for factual, logical, and contextual precision.
• Experience in conducting research and substantiating conclusions with credible references.
• Exceptional written communication skills in English.
• A full-time commitment of 40 hours per week, including at least 4 hours of overlap with PST.
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