I am a detail-oriented Quality Control Specialist, AI Data Reviewer, and educator with a Master of Education and a Bachelor's degree in English as a Foreign Language Teaching. I specialize in quality assurance, rubric-based evaluation, data validation, error analysis, and constructive feedback.
I have hands-on experience reviewing multimodal assets, including text, images, audio, question-answer sets, and digital learning content. I verify semantic, factual, visual, and contextual accuracy against defined standards while identifying ambiguities, inconsistencies, and recurring defect patterns.
My technical background includes auditing Large Language Model outputs with Groq LLM, designing automated evaluation engines, and developing interactive learning applications using Python, JavaScript, Streamlit, Three.js, HTML5 Canvas, and web APIs. I use structured validation logic to assess fluency, lexical precision, grammar, and domain-specific terminology.
In education and e-learning environments, I have led curriculum alignment, assessment calibration, content review, LMS troubleshooting, and learner data verification. I am experienced in applying national standards and scoring rubrics to maintain quality, integrity, and measurable outcomes.
I communicate professionally in Spanish and English and provide clear, actionable bilingual feedback. I am open to remote opportunities and relocation, particularly in AI data quality, content quality assurance, LLM evaluation, educational technology, and technical support roles.
