AI Generalist
Worked on AI training and data annotation projects focused on improving model accuracy and reliability across text-based and task-driven datasets. Responsibilities included labeling, categorizing, and reviewing large volumes of data, identifying edge cases, and ensuring consistency with detailed annotation guidelines. Contributed to refining outputs by evaluating model responses, flagging inaccuracies, and supporting quality assurance processes through iterative feedback. Maintained high accuracy standards while meeting turnaround timelines in a remote, task-based environment.