Meshack Okoth

Key Skills

Software

CVAT

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Segmentation

Freelancer Overview

I am a detail-oriented data annotator with over two years of experience supporting AI and machine learning projects through high-quality image, video, and text labeling. My expertise includes bounding box, polygon, semantic, and instance segmentation annotation, as well as basic 3D point cloud labeling for computer vision and LiDAR-based object recognition tasks. I am skilled in using industry-standard tools such as CVAT, Labelbox, Supervisely, Scale AI Platform, and Roboflow, and I consistently maintain over 98% annotation accuracy by adhering to strict guidelines and conducting thorough quality checks. I am comfortable working with large datasets, collaborating remotely, and quickly adapting to new annotation platforms, always striving to improve data quality and support the development of robust AI models.

Labeling Experience

Data Annotator, AI Data Solutions Ltd

CVATImageBounding Box

As a Data Annotator at AI Data Solutions Ltd, I was responsible for annotating images and video datasets to train and support AI computer vision models. I utilized bounding boxes, polygons, and keypoint labeling techniques to identify and classify objects within diverse datasets. Quality assurance was performed through peer reviews, ensuring accuracy and guideline compliance throughout the annotation process. • Annotated datasets using bounding boxes, polygons, and keypoint methods. • Adhered strictly to project guidelines and client labeling requirements. • Conducted regular quality checks, maintaining over 98% accuracy. • Collaborated in dataset refinement and error correction for model enhancement.

As a Data Annotator at AI Data Solutions Ltd, I was responsible for annotating images and video datasets to train and support AI computer vision models. I utilized bounding boxes, polygons, and keypoint labeling techniques to identify and classify objects within diverse datasets. Quality assurance was performed through peer reviews, ensuring accuracy and guideline compliance throughout the annotation process. • Annotated datasets using bounding boxes, polygons, and keypoint methods. • Adhered strictly to project guidelines and client labeling requirements. • Conducted regular quality checks, maintaining over 98% accuracy. • Collaborated in dataset refinement and error correction for model enhancement.

2024

Junior Data Labeling Specialist, TechVision Analytics

LabelboxImageSegmentation

As a Junior Data Labeling Specialist at TechVision Analytics, I labeled structured datasets including images, text, and short video clips for machine learning and computer vision projects. My work involved semantic segmentation, instance segmentation, and 3D point cloud annotation to support AI model development. I contributed to team efforts that improved labeling consistency and reduced errors across projects. • Applied semantic and instance segmentation techniques to training datasets. • Assisted with 3D point cloud annotation for LiDAR applications. • Followed data privacy protocols and maintained detailed task logs. • Collaborated with QA teams, enhancing labeling accuracy by 15%.

As a Junior Data Labeling Specialist at TechVision Analytics, I labeled structured datasets including images, text, and short video clips for machine learning and computer vision projects. My work involved semantic segmentation, instance segmentation, and 3D point cloud annotation to support AI model development. I contributed to team efforts that improved labeling consistency and reduced errors across projects. • Applied semantic and instance segmentation techniques to training datasets. • Assisted with 3D point cloud annotation for LiDAR applications. • Followed data privacy protocols and maintained detailed task logs. • Collaborated with QA teams, enhancing labeling accuracy by 15%.

2023 - 2023

Education

Work History