Lorenzo Cavalsassi

Evaluates images submitted to AI systems and assesses the quality, accuracy, and appropriateness of AI responses for multimodal AI training datasets.

Evaluates search engine results quality for Google via RaterHub, assessing relevance, accuracy, and cultural appropriateness for Italian and English queries.

Conducts deep online research daily, evaluating source quality and relevance for long-form content. Localizes English material for Italian audiences and assesses search results across platforms.

Produced formal written communications in English within NATO operational environments and maintained institutional-standard Italian documentation. Operated in a highly regulated environment requiring precision and compliance.

Specialized in Italian-language speech annotation for AI training pipelines, listening to and evaluating audio data to support speech recognition systems.

Completed a five-year classical education with a focus on Italian literature, Latin, and Ancient Greek, developing strong linguistic and analytical skills.