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TextI am a civil engineering student with a strong foundation in mathematics, logical reasoning, and technical analysis, which enables me to approach data labeling and annotation tasks with accuracy and attention to detail. My experience with data analysis, advanced proficiency in Microsoft Word and Excel, and basic programming skills equip me to handle large datasets and follow complex annotation guidelines. I am fluent in both English and Spanish, allowing me to work with multilingual data and communicate effectively within diverse teams. I am highly motivated to apply my analytical skills and passion for technology to support the development of high-quality AI training data in engineering and technology-related environments.
I compared multiple text outputs generated for the same scenario and evaluated which one was more natural, clearer, and overall, higher quality.
I identifies and consistently referenced an imaginary object with clearly defines atributes (shape, size, color,texture,position, and function). Then i translated thouse attributes into a structured prompt so the AI could accurately generate or place the object in context
I analyzed visual cues in an Instagram photo (architecrure, landmarks,signage,envirament, and cultural elements) to accurately identify the specific city where it was taken.
Bachelor of Civil Engineering, Civil Engineering
Technical Degree in Conversational English, English Language
Communication assistant
