Anderson G.

 I work in human-in-the-loop evaluation of AI-generated and AI-assisted image, video, and audio content. My focus is on visual judgment, quality control, and structured feedback that improves consistency, usability, and reliability in modern AI-assisted workflows.I bring over eight years of experience reviewing and quality-scoring visual and audio media for publication, with recent years focused specifically on AI-generated and AI-assisted outputs. I evaluate framing, continuity, pacing, artifacts, audio balance, and style adherence, making clear accept/reject decisions based on defined quality thresholds. I routinely compare multiple generations side by side, document failure modes, and provide written feedback used to refine prompts and generation strategies.Alongside production work, I run controlled visual evaluation projects (e.g., Graywall Series) designed to test judgment consistency, style drift, and rejection thresholds across iterative AI outputs.I’m comfortable working independently, applying evolving quality standards, and translating visual reasoning into clear feedback for technical and creative teams. My background spans traditional video production, AI-assisted media review, and structured evaluation under real-world delivery constraints.