Senior AI Content & Vision Consultant – Data Labeling & RLHF Alignment
I led advanced AI model alignment projects focused on reinforcement learning from human feedback (RLHF) for multimodal text-to-video systems. My responsibilities included creating high-fidelity visual training data, auditing generated outputs for cinematic accuracy and physical realism, and performing visual red teaming to identify kinetic anomalies and ray-tracing errors. These efforts were performed confidentially for Tier 1 AI research labs on frontier generative models. • Developed and curated labeled datasets for SOTA generative video models • Conducted in-depth technical audits to validate temporal and physical consistency • Special emphasis on optical physics and cinematic semiotics in video data • Operated under strict security and NDA protocols for pre-release models