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Determining, which model produces more human-like and engaging response.
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I am an experienced data annotator with a strong background in sourcing, curating, and labeling multilingual datasets for AI and machine learning projects. I have worked with leading organizations such as Hugo Technologies, Appen, TELUS International, and Lingtech.ai, where I annotated diverse data types including text, images, audio, and video for large-scale projects in domains like computer vision and natural language processing. My expertise includes using annotation tools to ensure high-quality, consistent data, collaborating closely with data scientists and engineers, and validating data to align with business objectives. I am adaptable, detail-oriented, and committed to delivering precise training data that drives successful AI solutions.
Determining, which model produces more human-like and engaging response.
Working on a generated prompt and determining if the user's request is fulfilled using given rubrics.
Bachelor of Agriculture, Agriculture
Senior Secondary School Certificate, General Secondary Education
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Agent/Rater