I’m Izuchukwu Chinedu, an AI Data Annotator and Model Evaluator with 3+ years of experience supporting large-scale machine learning work through careful dataset annotation and RLHF-style evaluation. I focus on quality and consistency using rubrics to score model responses for factual accuracy, prompt adherence, safety, and hallucination risks, while also handling tasks like NER and sentiment labeling.
I also work on audio transcription and transcription quality checks, ensuring outputs match strict client guidelines. I’ve built Python-based preprocessing scripts to clean and structure data for faster pipelines, and I’ve led small annotation teams by establishing QA workflows that reduced error rates significantly while maintaining strong confidentiality standards.
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