Sr Media Data Specialist at The Walt Disney Company

Nicasio, California, United States

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, EntertainmentIndustries

Bachelor's Degree preferred or professional audio technician certificate
5+ years of experience in audio post-production, music editing, or related work in the media and entertainment industry
Proficiency in Avid Pro Tools, including session management, routing, and plugin workflows
Deep understanding of soundtrack construction, including dialog, music, FX stems, and mixing conventions for localization & international dubbing
Strong organizational and file management skills, with attention to audio asset naming, metadata tagging, and hierarchical session structures
Familiarity with basic signal processing concepts and plugin behaviors (EQ, dynamics, reverb, etc.)
Ability to work independently while collaborating closely with technical and research-focused colleagues
Clear and precise communication skills for documenting audio data and workflow notes
Preferred Qualifications
Experience working on film or television post-production soundtracks
Familiarity with plugin automation and offline/batch rendering practices
Understanding of AI/ML concepts as they relate to audio data preparation
Experience with version control systems and collaborative platforms such as Git or Aspera
Familiarity with media asset management (MAM) systems and metadata standards in post-production
Experience with timed-text metadata and sidecar files
Knowledge of multichannel and immersive audio formats (5.1, 7.1, Dolby Atmos)
Familiarity with scripting (bash, Python, etc.) and general automation

Collect and curate diverse, high-quality audio, video and metadata content from media production workflows, including audio music, dialogue, and effects stems, as well as timed text and video information
Organize and label multitrack Pro Tools sessions with attention to project structure, plugin usage, and creative intent
Preprocess and format audio files to meet technical standards for data ingestion, ML model training, and evaluation
Collaborate with researchers and engineers to define dataset requirements for multiple simultaneous development projects
Document session structures, processing chains, plugin metadata, and session provenance for reproducibility
Identify and isolate audio artifacts, effects, or processing chains that may enhance or detract from model learning
Track data lineage to support versioning for evolving datasets used in iterative training pipelines