Charles Peck

AI Audio Specialist with 25+ years of professional experience at the intersection of sound design, audio engineering, and artificial intelligence. I specialize in AI-assisted audio systems, audio data annotation, and creative prompt engineering for generative and machine-learning-driven workflows. My background combines deep domain expertise in audio, frequency, timing, and perception with hands-on experience supporting AI model training, evaluation, and refinement. I have designed, labeled, and structured audio and multimedia datasets used in AI pipelines, applying both technical rigor and creative judgment to ensure high-quality, human-aligned training data. I work extensively with generative AI tools (including ChatGPT, OpenAI APIs, Jasper, and multimodal platforms) to build repeatable prompt frameworks, evaluate AI outputs, and translate creative intent into structured inputs suitable for machine learning systems. My approach emphasizes human-in-the-loop AI, qualitative feedback, and precision in annotation—especially in audio-centric and multimodal environments. In parallel, I bring long-standing experience as a Remote Audio Engineer and Sound Designer, producing and editing audio for podcasts, multimedia, and interactive applications. My work includes binaural audio, resonance-based sound design, and immersive listening experiences, with a strong focus on clarity, realism, and emotional impact. I am highly experienced in remote collaboration, asynchronous workflows, and cross-functional communication with researchers, engineers, and creative teams. My background in customer success and SaaS support adds a strong layer of empathy, documentation discipline, and user-focused thinking—skills that translate directly into effective AI evaluation and model support roles.