Oluwasegun Isaac Akeju

I'm currently a Quality Auditor at Hugo Technologies, where I review annotators’ work against quality thresholds and project-specific guidelines for content understanding and entity verification projects.

I evaluate safety-focused video annotations using Content Risk Assessment, Unpleasant Emotions, and Age Appropriateness metrics. I also assess video summaries, segments, text, sounds, technical quality, audience keywords, searches, and related metadata for accuracy and completeness.

Previously, as a Data Annotator at Hugo Technologies, I produced training data for AI models through in-house tools, maintaining a 90% accuracy rate and required quality metrics. My work included polygon labeling, image and video annotation, voice-to-model interaction categorization, and maintaining object consistency across multi-frame datasets.

I understand how quality annotation affects the AI ecosystem, and I work closely with annotators and team members to improve consistency, accuracy, and productivity through structured feedback.