Hi there! I’m Pierre-Alex Guinan, a dynamic sales associate and AI trainer based in Longueuil, Quebec. I bring a results-driven mindset to customer service, sales, and AI data annotation, distilling complex tech concepts into clear outputs and delivering superb customer experiences. I thrive on collaborating with teams to improve model accuracy and drive business outcomes.
In my day-to-day work, I enjoy testing prompts, refining data pipelines, and sharing knowledge with others. I am excited to apply my communication, critical thinking, and adaptability to new roles and challenges, helping organizations unlock value from data and AI.
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Labeled French AI conversations for safety concerns, including harassment, bias, and unsafe advice. Applied harm taxonomies and documented rationales to support AI safety research. Ensured compliance with ethical annotation standards while improving model safety and contextual understanding.
Reviewed and standardized rubric structures to reduce ambiguity and improve inter-annotator reliability. Refined evaluation criteria targeting subtle unsafe behaviors such as bias, misinformation, and manipulative tone. Ensured coherence and precision in large-scale model evaluation frameworks.
Designed complex French prompts to intentionally trigger weaknesses or unsafe behaviors in conversational AI models. Authored rubrics to assess clarity, correctness, and safety of model outputs across single and multi-turn interactions. Focused on reproducibility and consistency in high-stakes AI stress testing.
Conducted structured French-language conversations with AI chatbots to evaluate coherence, factual accuracy, tone, and user safety. Created and refined detailed evaluation rubrics assessing model alignment, reasoning clarity, and harm potential. Delivered high-quality annotations with consistent adherence to evaluation standards for multilingual AI systems.
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