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Evans Owino

Evans Owino

AI Data Annotation Specialist | AI Training | Computer Vision | Data Quality

Talent
TavetaMember since August 13, 2026
Video AnnotationBounding BoxesObject DetectionObject TrackingFrame-by-Frame AnnotationComputer vision data labelingGraphic DesignDigital MediaData Entry
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Video AnnotationBounding BoxesObject DetectionObject TrackingFrame-by-Frame Annotation

About

Detail-oriented AI Data Annotation and AI Training Specialist with practical experience in image and video annotation workflows, computer vision data labeling, and structured visual-data evaluation. Experienced with CVAT and familiar with modern annotation workflows including object detection, bounding boxes, classification, segmentation, frame-by-frame video annotation, object tracking, and temporal action labeling. Strong visual understanding developed through graphic design and digital media, combined with data-entry experience and structured AI/ML training.

Able to follow detailed project guidelines, maintain consistent labeling standards, identify objects and actions accurately, and describe only information supported by the source data.

Experience

AI Data Annotation Trainee / Independent Annotation Practice - Remote | Kenya - Remote | Kenya

  • Completed structured training and practical exercises involving image and video annotation for AI and machine-learning datasets.
  • Used CVAT to practice image and video annotation workflows.
  • Created bounding boxes and other visual annotations around objects.
  • Practiced object identification, classification, tracking, and frame-by-frame annotation.
  • Annotated human activities and actions across video sequences.
  • Practiced temporal segmentation by identifying when specific actions begin and end.
  • Created concise, objective captions describing visible activities.
  • Followed project-specific annotation guidelines and labeling taxonomies.
  • Maintained consistent object names and descriptions across tasks.
  • Reviewed annotations for accuracy, completeness, and consistency.
  • Corrected annotation mistakes after quality review and feedback.
  • Practiced distinguishing visible evidence from assumptions when labeling visual data.

Data Entry Officer - Salix Data Kenya - Kenya

  • Performed structured data-entry and information-processing tasks with strong attention to accuracy.
  • Worked with digital systems while following established procedures.
  • Maintained consistency when processing repetitive records.
  • Checked information for errors and inconsistencies.
  • Used computer-based workflows to organize and process information efficiently.

Plumbing Technician / Technical Instructor - Kibra TVC - Nairobi, Kenya

  • Worked in a structured technical environment requiring accuracy, reliability, and adherence to procedures.
  • Applied practical problem-solving skills to identify and resolve technical issues.
  • Communicated technical information clearly to learners and colleagues.
  • Followed established procedures and safety requirements.
  • Maintained focus and consistency during practical technical work.

Education

Graphic Media / Web Development & Digital Media Studies - Multimedia University of Kenya

Skills

AI Data Annotation SpecialistAI TrainingComputer VisionData Quality

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