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Appen
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TextI am an AI training and data annotation specialist with hands-on experience in data labeling, query rating, and model evaluation for search engines and language models. My work has focused on analyzing user intent, ensuring data quality, and providing detailed feedback to improve AI system performance across multilingual datasets. I am fluent in Spanish, French, English, and Haitian Creole, which enables me to contribute effectively to international projects and multilingual data environments. My technical background, combined with strong attention to detail and a commitment to accuracy, allows me to deliver high-quality results in AI development workflows and large-scale data projects.
Verified the factual accuracy of AI-generated responses to user queries. Reviewed claims for correctness, consistency, and reliability, ensuring high-quality and trustworthy outputs.
Worked across a variety of AI-related projects with constantly changing guidelines and requirements. Completed tasks ranging from query classification and search evaluation to song lyrics translation, as well as image and video content evaluation. Demonstrated adaptability, strong analytical skills, and the ability to quickly understand and apply new project standards.
Ranked search results by selecting the five most relevant and useful responses to user queries. Evaluated results based on relevance, accuracy, and freshness to ensure high-quality search experiences.
Transcribed recorded conversations with high accuracy, including proper punctuation and speaker labeling. Applied standardized tags to identify non-speech elements such as pauses, background noise, and laughter, ensuring clear and well-structured transcripts.
Master of Science, Energy Systems Engineering
Bachelor of Science, Mechanical Engineering
Graduate Researcher
Maintenance Assistant
