Silencio AI
Curating multilingual real-world speech and sound data for model training.
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I am an AI data specialist with over three years of hands-on experience in data annotation, image labeling, and model evaluation for computer vision and multimodal AI systems. My work has involved annotating and validating thousands of images, refining annotation guidelines, and performing rigorous quality assurance audits to ensure high-precision training data. I excel at identifying edge cases, detecting bias, and supporting human-in-the-loop workflows to enhance model robustness and safety. Collaborating closely with machine learning engineers, I have contributed to iterative model improvement cycles and consistently maintained high annotation accuracy across diverse domains. My expertise spans bounding box annotation, segmentation, classification, dataset curation, and error analysis, all aimed at driving better AI outcomes.
Curating multilingual real-world speech and sound data for model training.
Training and evaluating systems that can understand, align, reason over, and generate across multiple data types simultaneously, enabling more human-like perception and interaction.
LL.B, Law
Bachelor of Laws, Law
data annotator/ A.I trainer