prismaxai AI Trainer & Data Annotator
3D Sensor
Data CollectionPrismXAI focused on supporting AI model development through data annotation, response evaluation, and quality review tasks. The work contributed to improving model accuracy, relevance, safety, and overall performance across language-based AI systems. Specific data labeling tasks performed: Annotated and categorized text data based on project guidelines Evaluated AI-generated responses for accuracy, relevance, clarity, and safety Compared multiple model outputs and ranked them according to quality standards Identified errors, inconsistencies, and low-quality outputs during review Applied detailed instructions to maintain consistency across labeling tasks Performed quality assurance checks to ensure annotations met required standards Project size Worked on high-volume annotation and evaluation tasks across multiple batches of data, contributing to ongoing AI training workflows with consistent turnaround and attention to detail. Quality Maintained: strong quality standards by following annotation guidelines carefully, delivering accurate reviews, and ensuring consistency across tasks. Focused on precision, reliability, and meeting project requirements in fast-paced production environments.