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Pacifique Ishimwe

@pacifiqueishimwe

Detail-oriented AI content evaluator focused on clear, accurate digital language.

Rwanda
Message

What I'm looking for

I’m looking to review and improve AI-generated content—ensuring clear English, correct facts, and guideline-compliant outputs. I enjoy working independently and would like a remote role focused on content quality and language evaluation.

I evaluate intelligence-generated content with a strong focus on clarity, grammar, relevance, and accuracy. I review writing to ensure it is easy to understand and that information is correct and complete.

In my work as an AI Data Annotator, I assess whether AI outputs match user prompts and annotation standards. I compare results to project guidelines, select the highest-quality outputs, and validate that the content follows the required criteria.

I enjoy language evaluation and learning how AI systems are trained, including logic, fact-checking, bias awareness, and consistent annotation. I can work on my own, follow the rules, and prefer working from home while helping ensure digital content quality.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

AE

AI Literacy & Content Evaluation

Certification, Content Evaluation

2026 - 2030

Completed an AI Literacy & Content Evaluation certification program from 2026 to 2030, focusing on evaluating digital content quality.

University of Kigali logoUK

University of Kigali

Bachelor of Information Technology, Information Technology

2025 - 2026

Pursued a Bachelor of Information Technology at the University of Kigali from 2025 to 2026.

LK

Lycee de Kigali

Diploma, Mathematics and Physics

2017 - 2021

Earned a Diploma in Mathematics and Physics and practiced evaluating AI outputs by checking logic, grammar, and factual correctness.

MS

Mutunda Secondary School

Certificate in Ordinary Level, Secondary Education

Completed a Certificate in Ordinary Level (O-Level), learning how AI systems are trained and how to identify bias and fairness issues.

Tech stack

Software and tools used professionally

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