At Appen / CrowdGen, I participate in international projects evaluating and refining AI-generated text and image content. I assess relevance, coherence, fluency, quality, and cultural and linguistic accuracy.
I apply prompt engineering techniques to improve output relevance and alignment with task requirements, and annotate multimodal datasets for machine-learning projects. My human feedback supports improvements to AI model performance and content quality.
At Appen, I also evaluate search results for accuracy, relevance, and usefulness, identifying spam and low-quality content. I contribute to improving search result accuracy through systematic content evaluation.
Before my AI evaluation work, I spent more than 10 years in journalism and SEO. At Multivisión & Cielo FM, I led the sports department across TV and radio, produced and hosted content, and contributed to audience growth, with a reported 20% increase during the period.
