Universidad Nacional de Tucuman
Bachelor's in English, English
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During my time at DataAnnotation, Outlier, and Stellar AI, I gained extensive experience in data labeling and AI training data preparation, working on a diverse range of projects that required strong analytical, technical, and domain-specific expertise. My work spanned mathematics, coding, and generalist tasks, where I meticulously annotated, cleaned, and structured datasets to ensure high-quality inputs for machine learning models. I developed a keen eye for identifying outliers and inconsistencies, ensuring data integrity and improving model performance. My ability to adapt to various project requirements—whether it involved complex mathematical problem-solving, coding-related data, or broader generalist tasks—allowed me to deliver precise and reliable results consistently. What sets me apart is my multidisciplinary skill set, combining technical proficiency in coding and mathematics with a deep understanding of AI training workflows. I excelled in projects that required both precision and creativity, such as annotating datasets for niche mathematical models or debugging and refining code-related training data. My attention to detail, problem-solving abilities, and commitment to delivering high-quality outputs have been instrumental in contributing to the success of AI projects. Additionally, my experience working across different platforms and teams has honed my collaboration and communication skills, enabling me to effectively bridge the gap between technical and non-tec
Axel F. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor's in English, English
Bachelor's Degree in Mathematics, Mathematics
Axel F. hasn’t added any Work History to their OpenTrain profile yet.