Founder, AI Data Labeling Specialist (TAPE Engine)
Evaluated and refined AI generated text and audio outputs to improve quality in book generation workflows. Ensured clarity, coherence, and structure of AI outputs while correcting voice AI issues such as unnatural phrasing and filler words. Developed and implemented processes for enhanced data quality in voice cloning and AI content systems. • Performed iterative testing and validation of both transcript and audio data. • Built and maintained standards for structured data used in output quality. • Identified and resolved inconsistencies in narration and language. • Collaborated on process optimization and workflow design.