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TextI have hands-on experience as a data annotator with Verita AI, where I contributed to computer vision projects by accurately identifying and labeling images to train AI models. My academic and research background has further strengthened my skills in data entry, analysis, and management, particularly through my work as a graduate research assistant utilizing statistical tools like R and JMP. I am proficient in Microsoft Office, especially Excel, and have experience with ArcGIS Pro and Field Maps for geospatial data. My attention to detail, strong analytical skills, and commitment to data quality allow me to deliver precise and reliable training data for AI and machine learning applications. My main work is in forestry, land management, and forestry carbon work. I have extensive experience in logging and field forestry work including GIS and conservation sciences as well as wildlife management.
My job is to analyze user created model inputs and review responses to create rubrics to evaluate then use the rubrics to evaluate model responses.
For this project I identified tree species from images provided to train AI models for forest management and ROW management. The main duties in this job were to classify and label data with my expertise in tree identification.
Master of Science, Forest Business
Bachelor of Science, Forestry Resource Management
Forester
Graduate Research Assistant, Forest Business
