Independent AI Data Labeling & Annotation Practice
TextThis role involved self-directed practice in AI data labeling, annotation, and evaluation workflows. I engaged in hands-on training with AI platforms to develop proficiency in assessing AI-generated responses according to quality and factual accuracy. Continuous learning was undertaken in annotation standards, task calibration, and quality assurance processes. • Evaluated text data for accuracy, relevance, and adherence to guidelines. • Practiced prompt evaluation, content moderation, and data categorization tasks. • Utilized remote tools (such as Hubstaff, Slack, Discord) in tandem with AI training platforms similar to Outlier AI, TELUS Digital, and Welocalize. • Participated in self-guided learning programs focused on AI data labeling and annotation.