Video annotation for Atlas Capture
Worked on Atlas Capture, focusing on large-scale data labeling and annotation for improving machine learning model performance. Responsibilities included accurately tagging, categorizing, and validating diverse datasets such as images, text, or geospatial data, depending on task requirements. Ensured adherence to detailed annotation guidelines and maintained high consistency across outputs. Handled significant data volumes while meeting strict turnaround times. Performed quality checks, peer reviews, and error corrections to uphold data integrity and annotation accuracy. Followed established quality assurance protocols, including guideline compliance, audit feedback incorporation, and continuous improvement practices to maintain high labeling standards.