NDEGWA MARIGE

Label, tag, and annotate diverse datasets—including text, audio, image, and video data—to train and fine-tune machine learning and AI models. Maintain high standards of accuracy, precision, and consistency while following strict annotation guidelines and quality assurance protocols. Identify edge cases, dataset anomalies, and errors, collaborating with data science and engineering teams to refine guidelines and model performance. Review, audit, and validate pre-annotated datasets to ensure high-quality ground-truth training data.

Managed end-to-end audio recording, mixing, and mastering for live university events, lectures, and multimedia projects. Collaborated with academic departments, student creators, and media teams to produce crisp, high-quality audio content, soundtracks, and voiceovers. Maintained and operated studio recording equipment, digital audio workstations (DAWs), and sound reinforcement systems. Conducted sound checks, noise reduction, and post-production audio editing to ensure industry-standard sound quality.