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Data Annotation Tech
LabelboxNo subject matter listed
Audio
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TextVersatile bilingual data annotation and AI training specialist with experience across text, audio, and visual data. Skilled in evaluating English and Spanish datasets for accuracy, context, intent, and overall quality — from linguistic analysis and transcription to content categorization, safety alignment, and user experience assessment. I have contributed to multiple AI development projects involving LLM evaluation, speech recognition, and multimodal data labeling. With a background in communication, philosophy, and digital media production, I combine analytical precision with creative and technical insight. My expertise spans audio recording and voice-over work, search quality evaluation, and ethical data review. I bring consistency, adaptability, and a holistic understanding of how high-quality data fuels effective, responsible AI systems.
Evaluating Marketing-related content to ensure quality of information, logic, theory, and strategic principles.
Create and refine high-quality recordings, ensuring accuracy, clarity, and naturalness in evaluating and training AI voice models.
Create and refine high-quality recordings, ensuring accuracy, clarity, and naturalness in evaluating and training AI voice models.
Evaluating the quality of translations to and from English and Spanish. Rating, summarization, diagnosis, and correction.
Engaging in conversation with different LLMs while challenging their Philosophical understanding and logical thinking. Some projects were focused on Red Teaming or Jailbreaking the models based on logical thinking.
Bachelor, Communications
Translation & Localization Consultant
Cross-Cultural Communications Manager
