Remote Domain Expert - Music

• Create advanced prompts covering music theory, genres, composers, artists, production instruments.
• Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance.
• Identify hallucinations, logical inconsistencies, outdated information, and edge cases.
• Develop benchmark datasets and adversarial test cases.
• Provide evidence-based feedback with reliable references.
• Collaborate with AI researchers to improve model performance.
• Maintain high annotation quality and documentation

• Master’s degree or higher in any field; degrees in Music, Music Theory, Musicology, Ethnomusicology, Music Education, Music Production, Audio Engineering, Performing Arts, or other music-related disciplines are preferred.
• Strong knowledge of music, including music theory, composition, genres, composers, artists, instruments, music history, production techniques, notation, and contemporary music trends.
• 3+ years of relevant professional experience, preferably in music education, performance, composition, music production, journalism, research, content creation, audio engineering, or a related field.
• Excellent written English, research, and analytical skills.
• Strong attention to detail and ability to evaluate music-related information accurately, identify factual inconsistencies, and assess reasoning across diverse musical topics., * Experience with LLMs, Generative AI, prompt engineering, or AI evaluation.
• Published research, industry recognition, or teaching experience is a plus.
• Ability to work independently and provide objective, evidence-backed reviews.

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.