Olaonipekun Micheal

Detail-oriented Data Annotator with 6 years of experience specializing in high-quality video annotation, computer vision data labelling, object tracking, semantic segmentation, bounding box, and keypoint annotation. Proven track record of delivering high-accuracy training datasets for autonomous vehicles, AI surveillance systems, and robotic perception models. Adept at adhering to strict quality assurance protocols, managing complex edge cases, and collaborating efficiently with remote computer vision and ML engineering teams.

Senior Video Data Annotator - Scale AI - Copenhagen, Denmark

(2022-01)

• Annotate and verify frame-by-frame video datasets for advanced computer vision and autonomous vehicle models.
• Perform multi-object tracking, dynamic 2D/3D bounding box creation, polygon segmentation, and keypoint placement across thousands of video sequences.
• Maintained an average annotation accuracy score of 98.8%, surpassing project benchmarks and reducing internal QA cycles by 15%.
• Collaborate closely with machine learning engineers to refine labeling taxonomy, edge case guidelines, and multi-class classification standards.

Computer Vision Data Specialist - TrackMan A/S - Vedbæk, Denmark

(2020-03 - 2021-12)

• Executed precise keypoint and human skeletal pose annotations for high-speed video analysis and sports motion tracking AI algorithms.
• Annotated complex object trajectories, perform semantic segmentation on dynamic video backgrounds, and labeled moving targets across diverse lighting conditions.
• Conducted thorough quality audits on incoming video dataset batches, identifying and resolving spatial and temporal tracking drift.

Data Annotation Specialist - Appen - Remote

(2018-06 - 2020-02)

• Annotated image and video datasets for computer vision projects including object detection, action recognition, and spatial boundary identification.
• Applied 2D bounding boxes, polygon masks, and polylines to complex indoor and outdoor scenes.
• Utilized specialized CAT and data labelling platforms, achieving top tier quality scores across multiple concurrent client workflows.

Bachelor of Science - Information Technology / Computer Science - IT University of Copenhagen (ITU) (2014-09 - 2018-06)