I am a detail-oriented Data Annotator and AI Training Contributor with experience evaluating multimodal datasets including text, images, and generated media.
My work focuses on supporting the development of modern AI systems through structured data evaluation, prompt adherence analysis, and preference comparison between model outputs.
I specialize in tasks such as:
• Multimodal annotation (text, image, video)
• AI response evaluation and ranking
• Prompt adherence and instruction-following analysis
• Image generation comparison (Text-to-Image evaluation)
• Dataset quality control and guideline-based review
I bring strong analytical reasoning, attention to detail, and consistent decision-making when working with AI datasets.
Currently contributing to AI training projects involving generative models and multimodal systems.
I am interested in remote opportunities in:
• AI data annotation
• LLM evaluation
• model alignment datasets
• AI training workflows