AI Evaluator with 10+ years in AI Safety & LLM Quality Assurance
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Detail-oriented evaluator with extensive experience in AI safety and LLM quality assurance. Proven ability to assess AI-generated outputs for factual accuracy, reasoning, and linguistic appropriateness across English, German, and Italian. Promoted to reviewer, demonstrating strong analytical skills and commitment to upholding high-quality evaluation standards. Eager to leverage expertise in policy-aligned evaluation and data analysis to enhance AI model performance and user safety for clients.
University of Genoa
Bachelor's Degree · International Relations
August 1, 2006 – June 30, 2010
Mercor
LLM Factuality Evaluator → Reviewer (German)
March 1, 2026 – Present
India
OneForma
Quality Assurance Reviewer (ASR / Conversational AI Data)
March 1, 2026 – April 1, 2026
India
Mercor
LLM Localization Evaluator (Italian)
December 1, 2025 – Present
India
Telus
Internet Safety Evaluator
December 1, 2022 – Present
India
ICB
Export Coordinator
September 1, 2013 – November 1, 2022
Karlsfeld, Bavaria, Germany
Cultural Fit Analysis
The candidate's diverse experience in AI evaluation roles (factuality, localization, internet safety) across different companies (Mercor, Telus, OneForma) indicates adaptability and a broad understanding of AI quality assurance. Their multilingual capabilities (Italian, English, German) and experience with international contexts (Export Coordinator) suggest a strong cultural fit for roles requiring global perspectives and diverse content evaluation. The consistent focus on safety, quality, and policy alignment aligns well with responsible AI development practices.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, critical thinking, and a commitment to quality, as evidenced by their progression to reviewer roles and focus on guideline adherence and consistency. Their experience in remote work across multiple roles suggests adaptability and self-management. The background in International Relations, while not directly technical, could contribute to a nuanced understanding of cultural appropriateness in localization tasks.