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Nurul alwi

@nurulalwi

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AI Data Annotator and LLM Evaluation Specialist improving dataset quality for reliable model training.

Zimbabwe

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What I'm looking for

I’m looking for a remote role where I can improve LLM training through high-quality data annotation, prompt/response evaluation, and rigorous QA—working with clear guidelines, fast feedback, and measurable dataset improvements.

I’m an AI Data Annotator and LLM Evaluation Specialist focused on supporting AI model development through large-scale data annotation and evaluation. I work on LLM training datasets by evaluating data for training and applying structured evaluation methods.

In my role with Outlier (Scale AI), I evaluate datasets for LLM training, performing response ranking and classification while maintaining consistent quality across 300+ tasks weekly. I also improve dataset quality by identifying edge cases, helping training data become more reliable and robust.

I also provide freelance and specialized annotation support, including multilingual annotation and MTPE tasks, plus structured annotation for AI training with strong dataset consistency and QA standards at Uber AI Solutions. I’m currently completing a Bachelor’s Degree in Statistics and I bring a results-driven, quality-first approach to every annotation and evaluation task.

Experience

Work history, roles, and key accomplishments

AI Data Annotator & LLM Evaluator

Outlier (Scale AI)

Jan 2024 - Mar 2026 (2 years 2 months)

Evaluated datasets for LLM training, performing response ranking and classification. Completed 300+ tasks weekly while improving dataset quality, identifying edge cases, and maintaining consistent quality.