Video Labelling
It involves annotating responses, making necessary corrections, comparing multiple responses, and clearly explaining reasons for each grading decision. It also ensures that label evaluations are accurate and properly carried out.
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I am a detail-oriented data annotation expert with hands-on experience in evaluating and labeling data for various international AI and research platforms. My work includes proofreading, transcription validation (Polly), CYU task assessment, and OCR annotation, ensuring high-quality and accurate datasets for machine learning projects. I am skilled in applying analytical thinking to problem-solving, collaborating with teams to enhance data labeling processes, and consistently adhering to project guidelines. My background in biomedical sciences and clinical documentation has given me a strong foundation in research, data analysis, and quality assurance, making me passionate about contributing to the advancement of AI through precise and reliable data annotation.
It involves annotating responses, making necessary corrections, comparing multiple responses, and clearly explaining reasons for each grading decision. It also ensures that label evaluations are accurate and properly carried out.
Bachelor of Science, Prosthetics and Orthotics
West African Senior School Certificate, General Studies
Prosthetist and Orthotist Clinician Intern