Zues Jr

I’m a highly experienced AI Training Specialist and Data Annotator with 4+ years of proven expertise enhancing Large Language Model (LLM) performance through meticulous data labeling, ranking, and Reinforcement Learning from Human Feedback (RLHF).

In my recent contractor role, I led large-scale AI training projects by evaluating and ranking over 10,000 AI-generated responses for accuracy, safety, and helpfulness, delivering nuanced feedback that strengthens AI reasoning capabilities.

I’m hands-on with high-quality data annotation across diverse datasets and I systematically identify and correct critical hallucinations and biases, supporting robust and reliable AI system behavior. I also contribute to prompt and guideline improvements that raise the consistency of training data.

Previously, I designed and optimized prompts to improve response relevance and coherence by 15% in user-facing applications, while performing content moderation aligned to strict safety guidelines. Earlier as a Content Quality Analyst, I maintained high-quality standards for large volumes of content, reducing data inaccuracy by 20% and increasing team productivity by 10% through efficient workflows.