Kamil Yakubu

Detail-oriented Data Annotation Specialist and Geospatial Analyst with hands-on experience producing high-quality labeled datasets for computer vision and machine learning applications. Combines a strong academic foundation in Surveying & Geoinformatics with practical annotation expertise, applying spatial reasoning and precision skills that set geomatics-trained annotators apart from generalists. Proven track record of maintaining 95%+ quality benchmarks on large-scale video and image labeling projects.

Equally capable in GIS mapping, cartographic production, and cadastral work. Seeking remote opportunities with AI data teams, geospatial companies, and Earth observation organizations.

Ego Centric Video Annotator at Atlas Capture (2026-01 – Present)

Labeled and annotated large video datasets to help in building AI algorithms and machine learning models.

• Adhered to precise annotation guidelines to guarantee the quality of videos that have been labeled or annotated.
• Maintained a 95% accuracy rate throughout all video labeling work done to ensure high-quality data.
• Performed quality assurance to correct mistakes and protect the integrity of datasets.
• Documented of the labeling process for documentation purposes and transparency in the dataset production process.
• Managed concurrent video labeling projects.

Bachelor Of Science in Surveying and Geoinformatics – University of Benin (2024-04 – 2028)