Contributor
Designed and refined complex rubrics for content quality, safety, performance, and annotation accuracy.
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I am a conservatory-trained actor and professional voice artist with extensive experience contributing to AI training data through large-scale annotation, evaluation, and quality assurance projects. My background includes hands-on work as an Oracle Contributor and Senior Reviewer, where I designed and refined complex rubrics for content quality, safety, and annotation accuracy, and provided structured feedback to improve data labeling outputs. I have led audio direction for AI voice datasets, ensuring recordings meet strict technical and creative standards, and have collaborated closely with production teams to support high-quality, multilingual speech and TTS datasets. My expertise spans performance-based data annotation, rubric-driven evaluation frameworks, and studio-level audio quality control, making me well-equipped to support diverse AI model training and data labeling initiatives.
Designed and refined complex rubrics for content quality, safety, performance, and annotation accuracy.
Reviewed contributor outputs and delivered structured peer feedback to improve overall task quality.
Master of Arts, Cinema and Television
Bachelor of Arts, Theatre
Audio Director
Multilingual Voice Actor