Victory - Video Annotator & Research Coordinator with 4+ years in Data Collection and Analysis

Skilled in collecting, labeling, and annotating video and image data for AI and machine learning models.

Experienced in organizing field research, managing data integrity, and collaborating across research teams.

Proficient in developing technical content and analyzing datasets to deliver actionable insights.

Effective in managing digital customer interactions, resolving queries, and maintaining detailed logs.

Performed high-volume, first-person (egocentric) video collection, capturing precise human-and-object interactions to train advanced computer vision and home robotics models.. Reviewed, categorized, and accurately labeled complex egocentric video datasets to improve AI spatial awareness and contextual understanding.. Evaluated and scored AI responses and model outputs for relevance, helpfulness, and technical accuracy.. Identified edge cases and ambiguities in labeling guidelines, proactively proposing documentation updates that improved alignment across the distributed review team.. Audited continuous data streams to ensure strict compliance with safety, bias, and privacy standards prior to model training.. Maintained a consistent 98%–100% quality assurance accuracy rate across multiple parallel workstreams, including AI Evaluation and Data Auditing.

Coordinated field research activities, structured data collection processes, and maintained strict data integrity across institutional repositories.. Managed research documentation and collaborated with multi-disciplinary teams to ensure accurate data compilation.. Organized and formatted complex scientific research findings for analytical modeling and stakeholder reporting.

Created data-driven technical content and written assets across multiple digital platforms.. Analyzed diverse client requirements to deliver targeted informational solutions and synthesize complex research methodologies.