Research Analyst (Data Annotation & Model Fine-Tuning)
Designed and managed data annotation workflows for text, audio, and visual datasets, ensuring precise and consistent labeled data for NLP and computer vision projects. Led AI model fine-tuning and supervised learning tasks by applying domain-specific annotation standards to improve model performance and interpretability. Developed and implemented quality control protocols for annotation accuracy and inter-annotator reliability, aligning all practices with academic and technical requirements. • Led workflow creation for annotation of text, audio, and images in machine learning projects. • Oversaw fine-tuning and supervised training of NLP and CV models through manual and programmatic annotation. • Established quality control processes, ensuring consistency and dataset integrity through regular checks. • Collaborated closely with researchers to maintain compliance and boost model outcomes.