Franck Cedric Dienzou
I’m Franck Cédric Dienzou, an AI Trainer specialized in RLHF and factuality evaluation, where I assess the accuracy of LLM responses in both French and English and score them against detailed project guidelines.
About
I’m Franck Cédric Dienzou, an AI Trainer specialized in RLHF and factuality evaluation, where I assess the accuracy of LLM responses in both French and English and score them against detailed project guidelines. I enjoy working through ambiguous or borderline claims by checking against reliable sources, with the goal of reducing hallucinations and improving response reliability.
With a legal background (Master’s degree in Private Law with honors), I bring a structured and analytical approach to quality control, turning complex information into clear written summaries for different audiences. I’m also experienced in legal research and compliance-oriented work, and I like to learn how generative AI systems are built, evaluated, and continuously improved—while keeping data quality high.
- 2 years' experience
- Joined September 2026
Skills· 10
Languages
- FrenchFluent
- EnglishAdvanced
Industry experience
- Professional Services
- Government
- Education
- Financial Services
- Computers & Electronics
- Media & Entertainment
- Software & Internet
- Other
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Work experience· 6 roles
Evaluated, rated, and corrected the quality of responses generated by Large Language Models for international AI projects. Conducted comparative analyses of complex prompts and applied strict evaluation rubrics covering relevance, factual accuracy, tone, and safety. Drafted structured, well-reasoned justifications for each rating to improve model alignment and reliability, while processing complex information and large data volumes.
Evaluated AI model responses and scored them according to project guidelines, with special attention to borderline and ambiguous factual claims. Conducted factuality assessment and fact-checking in both French and English to reduce hallucinations and improve output reliability. Applied detailed annotation guidelines consistently across a high volume of tasks, maintaining quality standards while working efficiently.
Evaluate, rate, and correct the quality of responses generated by large language models for international AI projects. Perform comparative analyses of complex prompts and apply strict evaluation rubrics covering relevance, factual accuracy, tone, and safety. Draft well-argued, structured justifications for each rating to improve model alignment and reliability.
Education
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