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Helped contributing overweight and underweight dog images to train LLM
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With extensive experience in data labeling and AI training, I have contributed to numerous high-impact projects at Outlier, where I honed my skills in annotating diverse datasets across domains such as natural language processing, computer vision, and audio classification. My work involved tasks like entity recognition, sentiment analysis, image bounding boxes, and transcription validation, all performed with precision and adherence to quality standards. I’m well-versed in using annotation tools and platforms, and I consistently meet tight deadlines while maintaining high accuracy. What sets me apart is my ability to quickly adapt to new guidelines and project requirements, ensuring seamless integration into different workflows. I take pride in understanding the nuances of data and how it feeds into model performance, which allows me to label with both speed and strategic insight.
Helped contributing overweight and underweight dog images to train LLM
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Bachelor of Science, Information Technology
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