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Data Annotation Tech
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TextProfessional Experience Summary Data Annotation & LLM Evaluation Experience October 2024 – March 2025 From October 2024 to March 2025, I worked as an LLM (Large Language Model) evaluator with a focus on data annotation. My role involved evaluating the quality and relevance of AI-generated content in both English and Italian. In addition to my general evaluation work, I contributed as an evaluator on the Alignerr platform, where I applied the same rigorous standards for alignment, linguistic clarity, and instruction-following across diverse prompts and responses. Key Responsibilities: Annotating and rating responses produced by language models in English and Italian. Evaluating factual accuracy, coherence, relevance, and tone of AI outputs. Providing structured feedback to guide model fine-tuning and improvement. Ensuring alignment between user intent and model behavior. Performing evaluations on both general-purpose and safety-sensitive tasks via Alignerr and other platforms. This role strengthened my analytical skills, bilingual fluency, and understanding of LLM development processes in both research and production environments.
In this project i had to record my voice pretending talking to an ideal chatbot, asking some questions that must be different in matters and backgrounds.
In this project i had to talk to a chatbot, comparing the responses and deciding what was the best.
Bachelor in creating comicbooks, Comic book artist
Storyboard artist
