Nearmap Aerial Imagery
Annotated buildings using guild angles. Support geospatial AI models for urban planning, land‑use classification, and infrastructure monitoring.
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Profile Overview I am an AI Data Labeling Specialist with over 5 years of experience delivering high‑quality training datasets across diverse domains including LiDAR, 3D point clouds, image, and video annotation. Skilled in using leading platforms such as Labelbox, Toloka AI, Appen, CloudFactory, Hasty, Mercor, Mindrift, and Data Annotation Tech, I consistently achieve 98%+ accuracy benchmarks while ensuring dataset reliability through rigorous QA validation. I blend technical precision with clear communication to support AI model development. With a background in Industrial Chemistry and ISO 17025 laboratory protocols, I bring scientific rigor to digital operations, making me uniquely positioned to handle complex annotation projects that demand both analytical depth and operational efficiency. Beyond annotation, I have delivered transcription projects with 99% accuracy, produced SEO and academic content with high acceptance rates, and collaborated with international teams to adapt outputs to varied technical and business needs. This combination of technical expertise, quality assurance, and cross‑functional collaboration sets me apart as a versatile contributor to AI training data initiatives.
Annotated buildings using guild angles. Support geospatial AI models for urban planning, land‑use classification, and infrastructure monitoring.
Annotated industrial images of power plant environments, focusing on pipes, valves, and structural components.
Drew bounding boxes around cars in large image datasets to train object detection models. Support autonomous driving and traffic monitoring systems by providing precise car detection data.
Bachelor of Science, Industrial Chemistry with Management
Geochemist Intern
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