Flamingo
Evaluating and rewriting provided answers.
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Data annotator, Mistral AI, Paris. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Surge AI and Labelbox. Education includes Bachelor of Arts and Master of Arts, Université d’Artois (2011). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).
Evaluating and rewriting provided answers.
As a data annotator at Mistral AI, I engaged in multimodal prompt creation and annotation for large language model (LLM) training. My key responsibilities included designing challenging prompts, performing adversarial jailbreaking attempts, and evaluating LLM behavior on potentially harmful content. I also contributed to red teaming efforts and detailed quality assurance throughout the annotation process. • Developed and annotated diverse prompts for multimodal LLM training. • Conducted prompt injection and adversarial testing for harmful and dangerous content. • Participated in jailbreaking evaluations for AI safety. • Maintained quality assurance and high annotation standards.
- training AI to adapt better to human speech and wording : creative, professional, scientific writing, data extraction... and reviewing generated answers, - training AI to recognize harmful or suspicious content and managing appropriate answers, - finding and analyzing discrepancies in data sets, - creating documents for the team members on recurring data sets issues.
Main theme were history, culture, sciences, schedule.
Audio transcription to fine tune localized speech and expressions.
Master Degree, Heritage
Master, Project management
Associate
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