Open to opportunities

Alessandro Piaccione

@alessandropiaccione

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AI Evaluator specializing in Trust & Safety, Red Teaming, RLHF, and RLHF evaluation to stress-test LLM safety.

Italy

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What I'm looking for

I’m looking to evaluate and improve LLM safety through Trust & Safety, Red Teaming, and RLHF-based QA, working with clear governance goals. I want opportunities where I can stress-test factual accuracy, alignment, and ethical behavior responsibly.

I’m an AI Evaluator specialized in Trust & Safety, Red Teaming, RLHF, and AI governance. With a multidisciplinary background in Biological Sciences and Languages, I use domain-specific knowledge to rigorously stress-test LLMs for factual accuracy, safety, and ethical alignment.

In freelance engagements and governance-focused work, I run iterative Red Teaming and RLHF protocols, applying strict “Process and Product Discernment” to identify critical failures, contextual omissions, and hallucinations in model outputs during deployment. I’m also certified in AI Outlier.ai and completed multiple Trust & Safety and Generative AI Red Teaming programs to support responsible, learning-driven evaluation.

Experience

Work history, roles, and key accomplishments

Current

AI Evaluator & Red Teamer

Current

Freelance

Mar 2026 - Present (4 months)

Execute iterative red teaming and RLHF protocols to evaluate the safety, factual accuracy, and alignment of large language models. Stress-test complex reasoning with domain knowledge and identify failures, omissions, and hallucinations in model outputs.

Hallucination Detection Prompt Engineering AI Red Teaming Trust and Safety Process and Product Discernment Python

AI Evaluator

OneForma

Jun 2026 - Jul 2026 (1 month)

Applied strict process and product discernment to identify critical failures, contextual omissions, and hallucinations in generated outputs for the Centaurus project.

Hallucination Detection Prompt Engineering AI Red Teaming Trust and Safety Process and Product Discernment