Gramian Consulting
2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
Music Content Reviewer – AI Evaluation
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Gramian Consulting
2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
📋 Description
• Create advanced music-related prompts across a range of disciplines and difficulty levels • Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance • Identify hallucinations, outdated information, logical inconsistencies, and difficult edge cases • Verify claims related to music theory, artists, composers, genres, instruments, and production • Develop benchmark datasets and adversarial test cases for model evaluation • Provide clear, objective, and evidence-based feedback supported by reliable references • Document findings and maintain high annotation and evaluation standards • Collaborate with AI researchers and project teams to improve model performance • Participate in calibration and quality-review activities
🎯 Requirements
• Master’s degree or higher in Music, Music Theory, Musicology, Composition, Music Production, Performance, or a closely related discipline • At least 3 years of professional, research, or teaching experience in a music-related field • Strong knowledge of music theory and at least one additional area such as music history, performance, composition, genres, instruments, or production • Ability to evaluate complex music-related content for factual, logical, and contextual accuracy • Experience conducting research and supporting conclusions with reliable references • Excellent written English communication skills
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