I am an annotation and transcription professional with over five years of experience supporting AI training projects through high-quality video, audio, and text annotation. My work involves transforming raw data into structured, human-readable outputs that enhance Large Language Models (LLMs), robotics, and other AI systems.
I have collaborated with global teams on diverse AI initiatives, contributing to gold-standard datasets that improve model training, evaluation, and real-world performance. With advanced English proficiency, a sharp eye for detail, and the ability to identify patterns, errors, and inefficiencies, I excel in precision-focused tasks that demand consistency and accuracy. I thrive in remote environments where adaptability, self-management, and clear communication are essential. I am passionate about advancing the field of AI through careful, consistent annotation that bridges the gap between human understanding and machine learning. My goal is to continue contributing to innovative projects that shape the future of LLMs, robotics, and embodied AI systems.
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