Trevor

Key Skills

Software

Label Studio

Top Subject Matter

Speech Recognition AI

Object Tracking in Video AI

Geospatial Imagery Mapping

Top Data Types

Audio

Video

Image

Top Task Types

Classification

Tracking

Segmentation

Freelancer Overview

Audio Data Annotation Practice Project (Certification Training). Core strengths include Label Studio and CVAT. Education includes Bachelor of Science, Kenyatta University (2021) and Certificate in Data Annotation, Data Lens Africa (2023). AI-training focus includes data types such as Audio, Video, and Geospatial and labeling workflows including Classification, Tracking, and Segmentation.

Labeling Experience

Image Data Annotation Practice Project (Certification Training)

Label StudioImageSegmentation

I labeled image datasets using bounding boxes, semantic segmentation, and polygon segmentation in self-directed training projects. Tasks included precisely outlining objects and regions to build high-resolution annotated images for AI model development. I consistently adhered to quality standards and annotation best practices as outlined in certification guidelines. • Drew bounding boxes around relevant objects in images. • Applied polygon and semantic segmentation as required. • Audited image labels for accuracy and completeness. • Used recommended software tools for image data annotation.

I labeled image datasets using bounding boxes, semantic segmentation, and polygon segmentation in self-directed training projects. Tasks included precisely outlining objects and regions to build high-resolution annotated images for AI model development. I consistently adhered to quality standards and annotation best practices as outlined in certification guidelines. • Drew bounding boxes around relevant objects in images. • Applied polygon and semantic segmentation as required. • Audited image labels for accuracy and completeness. • Used recommended software tools for image data annotation.

2026 - Present

Geospatial Annotation Practice Project (Certification Training)

Label StudioImageSegmentation

I worked on geospatial datasets using both polygon and semantic segmentation methods as practice during my certification training. Annotations included identifying land types and boundaries within spatial data imagery for mapping applications in AI. These projects required precision in drawing polygon outlines and ensuring semantic accuracy. • Marked geographic features using polygons. • Performed pixel-level segmentation on map-based images. • Followed guidelines for accurate land cover labeling. • Used annotation software optimized for spatial imagery.

I worked on geospatial datasets using both polygon and semantic segmentation methods as practice during my certification training. Annotations included identifying land types and boundaries within spatial data imagery for mapping applications in AI. These projects required precision in drawing polygon outlines and ensuring semantic accuracy. • Marked geographic features using polygons. • Performed pixel-level segmentation on map-based images. • Followed guidelines for accurate land cover labeling. • Used annotation software optimized for spatial imagery.

2026 - Present

Video Annotation Practice Project (Certification Training)

CVATVideoTracking

I labeled video data with a focus on object tracking during my certification-based practice projects. My responsibilities included identifying objects frame by frame and ensuring continuity and consistency in annotation across entire video sequences. I paid close attention to accurate tracking to facilitate high-quality AI model training. • Used video annotation tools to mark and follow target objects. • Maintained label consistency through all video frames. • Applied best practices for object tracking per project guidelines. • Verified accuracy of data labeling results.

I labeled video data with a focus on object tracking during my certification-based practice projects. My responsibilities included identifying objects frame by frame and ensuring continuity and consistency in annotation across entire video sequences. I paid close attention to accurate tracking to facilitate high-quality AI model training. • Used video annotation tools to mark and follow target objects. • Maintained label consistency through all video frames. • Applied best practices for object tracking per project guidelines. • Verified accuracy of data labeling results.

2026 - Present

Audio Data Annotation Practice Project (Certification Training)

Label StudioAudioClassification

I annotated audio datasets for tasks related to speech recognition and classification during certification training. My work focused on listening to audio recordings and labeling them according to specified instructions to ensure data quality and utility for AI training. I maintained a high standard of accuracy and followed detailed annotation guidelines throughout each project. • Labeled audio clips with appropriate speech categories or tags. • Ensured label consistency across similar audio samples. • Used annotation tools as instructed during training. • Collaborated with instructors or peers for feedback and improvement.

I annotated audio datasets for tasks related to speech recognition and classification during certification training. My work focused on listening to audio recordings and labeling them according to specified instructions to ensure data quality and utility for AI training. I maintained a high standard of accuracy and followed detailed annotation guidelines throughout each project. • Labeled audio clips with appropriate speech categories or tags. • Ensured label consistency across similar audio samples. • Used annotation tools as instructed during training. • Collaborated with instructors or peers for feedback and improvement.

2026 - Present

Education

Work History