AI Trainer / Data Labeller (LLM Annotation & Evaluation)
Label StudioTextEntity Ner Classification
As an AI Trainer/Data Labeller, I annotated and labeled text datasets for NLP tasks including classification, sentiment analysis, and named entity recognition. I evaluated and ranked AI-generated outputs to support RLHF and supervised fine-tuning workflows. My role focused on ensuring accuracy, consistency, and high-quality data production for training large language models.
• Applied strict annotation guidelines across high-volume datasets.
• Performed data validation, quality assurance, and regular dataset audits.
• Detected hallucinations, bias, errors, and edge cases in AI outputs.
• Created and maintained golden datasets and generated synthetic data.
As an AI Trainer/Data Labeller, I annotated and labeled text datasets for NLP tasks including classification, sentiment analysis, and named entity recognition. I evaluated and ranked AI-generated outputs to support RLHF and supervised fine-tuning workflows. My role focused on ensuring accuracy, consistency, and high-quality data production for training large language models. • Applied strict annotation guidelines across high-volume datasets. • Performed data validation, quality assurance, and regular dataset audits. • Detected hallucinations, bias, errors, and edge cases in AI outputs. • Created and maintained golden datasets and generated synthetic data.
2024 - 2025