Job Description
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Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Role Responsibilities
- Evaluate AI model output for lyrics and voice generation across various music categories.
- Score the quality of musical training data to enhance model performance.
- Develop and refine evaluation standards for AI-generated music.
- Collaborate with AI research teams to provide structured feedback.
- Work independently and asynchronously to meet project deadlines.
Qualifications
Must-Have
- 3+ years of experience as a music producer, audio engineer, and/or sound mixer.
- College degree in music, covering performance, theory, and lyrics.
- Proficiency in both Punjabi and English.
- Experience writing lyrical music in the domain language.
Preferred
- Evidence of understanding musical performance, theory, and lyrics.
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Mercor
View Company ProfileMercor (operating at mercor.com) is an AI data infrastructure platform engineered for the emerging AI economy. Founded by its three founders—who became the youngest self-made billionaires in the sector—and headquartered in San Francisco, California, Mercor redefines how AI models are trained by leveraging human expertise at scale. Unlike traditional AI training methods that rely on static datasets, Mercor connects frontier AI labs with specialized human intelligence, enabling dynamic, real-time data augmentation. This allows research institutions, AI labs, and enterprises to accelerate model development, benchmark performance, and deploy AI agents with higher accuracy and adaptability. With a valuation of $10 billion and $492 million in raised funding across four rounds, Mercor has paid out over $50 million to global businesses while positioning itself as a critical enabler for the next generation of AI innovation.
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