Brandster School
Specialist Level Training, Branding
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With nearly a decade of experience at the intersection of Marketing, Data, and Product, I bring a strong analytical foundation to AI training data work — including taxonomy design, structured content evaluation, and prompt/output quality assessment. My background spans co-founding data-driven ventures, building proprietary methodologies with multi-layered conceptual frameworks, and conducting systematic comparative analysis of AI-generated outputs across tools such as ElevenLabs, HeyGen, Descript, and Synthesia. This hands-on evaluation work required consistent application of nuanced quality criteria — assessing naturalness, accuracy, tonal alignment, and contextual appropriateness at scale. What sets me apart is the combination of rigorous conceptual thinking with practical content production experience. I have developed detailed editorial guidelines, multi-language style guides (Portuguese, English, Spanish, French), and structured annotation rubrics for documentary and educational content pipelines. My work in methodology design — including a full doctrinal framework integrating psychology, philosophy, and narrative structure — demonstrates the precision and internal consistency that high-quality data labeling demands. I am fluent in both Portuguese and English, with strong cross-cultural sensitivity relevant to multilingual annotation tasks.
Renata C. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
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