Nabil Albertson

I am an AI trainer and annotator with two years' hands-on experience improving data quality for NLP and moderation systems. I specialize in annotating large datasets and enhancing AI moderation outcomes to produce reliable model outputs.

My background in language and communication supports precise content classification, labeling, and bias-aware annotation practices. I have practical experience with Labelbox and other annotation platforms, and I apply attention to detail and critical thinking to each task.

I contributed to TikTok/Bytedance moderation and annotation projects, working as a Quality Analyst and AI Moderator/Annotator to refine training datasets and improve AI predictions. I focus on ethics, bias control, and quality assurance throughout the annotation lifecycle.

I am committed to helping teams build high-performing, fair AI systems by delivering accurate, well-curated training data and actionable feedback for continuous model improvement.