Yusuf Dhikrullah

I am a detail-oriented AI tutor and data annotation specialist with hands-on experience training and refining AI models for NLP and computer vision. I focus on collecting, labeling, and curating text, audio, and video data to improve model performance and reliability.

I have worked remotely with AI development teams to annotate large datasets, refine AI-generated content, and provide structured feedback for model fine-tuning. I am experienced with tools such as Labelbox, Prodi.gy, and SuperAnnotate and contribute to improving annotation workflows and data consistency.

In freelance and internship roles I designed and optimized prompts, verified responses for tone and intent, and led efforts to create high-quality conversational training datasets. I emphasize fact verification, contextual understanding, and practical prompt engineering to make generative AI outputs more human-like.

I hold a Bachelor of Arts in English Language and Communication Studies and bring strong research, data validation, and collaboration skills. I am passionate about advancing AI technologies by ensuring high-quality training data and efficient annotation processes.