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Appen

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Freelancer Overview

I am an experienced AI trainer and data annotator with a background in computer science and hands-on expertise in tagging, labelling, and evaluating data to train AI systems. My work with Outlier and Appen’s Crowdgen projects has given me practical skills in prompt engineering, response evaluation, annotation, transcription, and translation, supporting the development of high-quality training datasets for NLP and social media evaluation tasks. I am detail-oriented, skilled at following complex guidelines, and have a strong foundation in technical communication and analytical problem-solving. My experience also includes using Microsoft Office Suite and accounting software, which supports my ability to manage and organize large datasets efficiently. I am committed to delivering accurate, high-quality results that contribute to the success of AI and machine learning initiatives.

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