Data Annotator
Participated in labelling healthcare realted videos with respect to proper captioning.
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I am a final-year medical student with over four years of experience in content evaluation, video captioning, and freelance editing, specializing in projects that demand high attention to detail and critical analysis. My background in medicine has trained me to synthesize complex information, assess evidence for accuracy, and communicate findings clearly—skills directly applicable to data labeling, annotation, and AI training data tasks. I have worked extensively with AI-generated content, evaluating and editing captions, identifying ambiguities, and creating prompt variations to test model responses, particularly in medical, scientific, and general knowledge domains. I am proficient with tools such as Rev.com, Otter.ai, various subtitle editors, and collaboration platforms like Slack and Google Workspace. My hands-on experience with language models (including ChatGPT and Claude), combined with a strong foundation in research and evidence-based reasoning, enables me to deliver precise, high-quality annotations and contribute effectively to AI training and evaluation projects.
Participated in labelling healthcare realted videos with respect to proper captioning.
Bachelor of Medicine, Bachelor of Surgery, Medicine and Surgery
Video Captioning Specialist & Content Evaluator