Data Annotation and AI Training (Skill Development)
Engaged in data annotation and AI training as part of technical skill development, contributing to foundational AI project tasks. Focused on applying annotation methodologies and supporting initial dataset development for AI model training. Leveraged petroleum engineering subject matter knowledge to enhance the quality and relevance of labeled data. • Practical exposure to data annotation for machine learning in a technical context • Utilized Python and analytical skills for basic data labeling support • Inferred subject matter labels from petroleum engineering datasets • Gained familiarity with labeling requirements for AI model training