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Appen
Clickworker
CrowdSource
Remotasks
Scale AINo subject matter listed
Audio
Image
TextI have hands-on experience in AI training data and data labeling, having contributed to multiple projects across platforms such as Outlier, UHRS, and CrowdGen. My work has included text evaluation, audio transcription, data annotation, and online fact verification, among others; all with a high standard of accuracy and attention to linguistic nuance. In Outlier, for example, I specialized in evaluating prompts and model responses for naturalness, clarity, and helpfulness, helping to refine LLM outputs in Spanish and English. What sets me apart is my background in translation, localization, and linguistic quality assurance, which has given me a sharp eye for detail, tone, and contextual meaning which is crucial for training AI systems to produce natural, human-like language. I’m highly reliable, comfortable working with style guides and task-specific instructions, and experienced in evaluating both structured and unstructured data.
The aim of this project is to create data on how AI models should handle user interactions that deal with sensitive topics or harmful themes. This project is purely text based (i.e. no images, audio, etc).
Bachelor's Degree, Translation (English-French-Spanish)
Language Program, French Language
LV Quality Specialist
Account Manager and Team Lead
