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TextI have almost two years of solid experience as a freelance Data Labeling specialist, working remotely alone or in a team, in a war room environment. I have worked on a diverse range of tasks essential to AI enhancement, including data labeling in multiple modalities, bias detection, and evaluation of sensitive content, ensuring the security and impartiality of systems. In addition, I have participated in usability testing, evaluating apps of different models with voice commands and prompts. I have worked on prompt engineering, evaluation, and rubric projects in both Brazilian and European Portuguese. I have handled data, document, and image capture for both languages. I worked as a reviewer on several projects and joined the elite team of the platform. My multidisciplinary experience ensures that I am a versatile professional, capable of significantly contributing to the accuracy and quality of training data.
I worked on several projects involving the analysis of generated images, model evaluation, and prompt creation, as well as testing how effectively the models understood the visual content.
Audio transcription and image annotation, RLHF, developing rubrics and performing rubric evaluations, prompt engineering for both written and voice interactions, and conducting data curation and review. I specialize in identifying bias in AI models and evaluating sensitive content, in addition to running A/B testing and usability assessments with AI models.
Bachelor's Degree in Visual Arts, Visual Arts
Continuing Education in Business Administration, Business Administration
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