Multimedia Data Annotator (AI/ML - entertainment industry)

Photo & Video Data Labeler

Contract | Remote | Full-time

• Evaluated and curated image assets and short-form video clips sourced from TV series and films, ensuring compliance with creative and technical quality standards.
• Assessed visual content based on composition, framing, sharpness, file specifications, genre representation, talent visibility, and promotional suitability.
• Labeled and scored multimedia assets using structured quality frameworks and predefined evaluation criteria.
• Provided detailed justification for asset acceptance or rejection, maintaining consistency across large-scale annotation projects.
• Conducted research on TV and film content to identify key story elements, genres, themes, and prominent characters.
• Collaborated with cross-functional teams during calibration sessions to align labeling decisions and improve annotation consistency.
• Contributed feedback on taxonomy development and quality assurance processes to enhance evaluation accuracy.
• Worked within tight deadlines while managing fluctuating workloads in a high-volume content review environment.

Key Skills: Content Curation, Quality Assurance, Image Review, Video Review, Data Labeling, Metadata Annotation, Visual Analysis, Content Moderation, Media Asset Management, Photography, Video Content Evaluation, Attention to Detail.