Ai data annotator
Labelled over 15 videos with 86 percent performance score
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I am a medical student with hands-on experience in AI data labeling and training data preparation across medical and general domains. My work spans text annotation, named entity recognition (NER) for clinical terminology, sentiment and intent classification, and evaluating AI-generated responses for accuracy and safety through RLHF pipelines. What sets me apart is my clinical and academic background, which makes me a reliable domain expert for healthcare and biomedical AI projects. I can accurately identify medical terminology, verify clinical facts, annotate radiology and clinical note datasets, and flag errors in AI-generated health content with a level of precision that general annotators cannot offer. Combined with strong written English, remote collaboration experience, and a detail-oriented work ethic, I bring both technical annotation competence and specialist medical knowledge to every project.
Labelled over 15 videos with 86 percent performance score
West African Senior School Certificate Examination (WASSCE), Secondary Education (Science Track)
Bachelor of Medicine, Bachelor of Surgery, Medicine and Surgery
Medical Intern