Sampson Akinyelu

I am a detail-oriented data labeling specialist with experience evaluating content for quality, relevance, and accuracy across text, image, audio, and video. I delivered consistently high accuracy scores as a US Language Rater and improved rating workflows through research, training participation, and process contributions.

I bring strong analytical thinking, time management, and collaboration skills, familiarity with common labeling tools (Labelbox, SuperAnnotate, CVAT, VGG Image Annotator), and basic Python for data handling. I am committed to upholding project guidelines and quality assurance standards to support the development of reliable machine learning models.