Key Skills

Software

No software listed

Top Subject Matter

Music & Audio Production

Film, TV & Media (Post-Production / Sync)

AI Training Data & Multimodal Annotation

Top Data Types

Video

Text

Document

Top Task Types

No task types listed

Freelancer Overview

While my primary background is in music composition and production, my work consistently overlaps with AI training data principles—particularly in structured labeling, multimodal annotation, and quality control. At Bleeding Fingers Music, I produce 10–12 minutes of music weekly for film, TV, and game projects, which requires meticulous organization of audio assets, metadata tagging, versioning, and categorization across large-scale libraries (e.g., for Sony Music production catalogs). I also handle detailed audio editing and cleaning using tools like iZotope, where precision, consistency, and pattern recognition are critical—skills directly aligned with high-quality data annotation workflows. In addition, I have experience working with multimodal content, combining audio, visual, and narrative elements when preparing mockups, syncing music to picture, and editing video using Adobe Premiere. This translates well into creating and evaluating complex question–answer pairs or training datasets that require contextual understanding across formats. My technical background (USC Screen Scoring Master’s degree), combined with a strong attention to detail and high output under deadline, positions me to contribute effectively to AI training pipelines—especially in tasks involving audio, creative content, and multimodal reasoning. Education includes Master of Music, University of Southern California (2022), MAster Of Music in Fim Music(Babelsberg/Germany) and Bachelor of Music, Universidade Federal do Estado do Rio de Janeiro (UNIRIO) (2014). Well suited for text-focused AI training, including legal document review, compliance annotation, and rubric-based quality evaluation.

Labeling Experience

Education

Work History