At Alignerr, I reviewed and rated AI-generated responses using project rubrics, assessing instruction-following, accuracy, clarity, relevance, tone, completeness, and safety.
I identified incomplete answers, unsupported claims, vague wording, and mismatches with user intent, then provided structured feedback to improve model quality.
At CrowdGen by Appen, I worked on data annotation and evaluation tasks, including labeling, content review, and quality checking of AI-related outputs. I documented evaluations and checked for errors, inconsistencies, and unclear content.
At Gini Talent, I supported SEO and content evaluation projects by assessing quality, clarity, relevance, and alignment with user or search intent. I’m also a fourth-year Food Engineering student at Ege University.
