Shahida Shaifuddin

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Freelancer Overview

I am an AI Quality and Trust & Safety specialist with hands-on experience in large language model (LLM) evaluation, post-training data quality control, and multilingual annotation. I have worked on SFT and RLHF projects, conducting high-volume audits of text, image, and audio outputs to assess factual accuracy, safety compliance, bias risks, hallucinations, and localisation quality across Malaysian Malay and Singaporean English. My work involves applying detailed policy guidelines, identifying edge cases, and ensuring model responses align with platform standards for reliability and responsible AI behavior. My background in law (LL.B Hons) strengthens my analytical reasoning, risk assessment, and policy interpretation skills, which I apply directly to prompt–response evaluation, content moderation logic, and complex judgment tasks. In addition to LLM evaluation, I have experience in sentiment annotation, user intent classification, and large-scale data labeling (5,000+ data points monthly) to improve AI-driven user experience and fraud detection systems. I bring strong attention to detail, cross-cultural language expertise, and a consistent record of high-quality, guideline-compliant work in remote AI training environments.

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