Lloyd Kioko

Key Skills

Software

Mindrift

Mercor

Top Subject Matter

Computer Vision

Autonomous Vehicles

General Object Recognition

Top Data Types

Image

Video

3D Sensor

Top Task Types

Bounding Box

Action Recognition

Segmentation

Freelancer Overview

Senior Data Annotator (Images & Computer Vision). Core strengths include Mindrift, Outlier, and Mercor. AI-training focus includes data types such as Image, Video, and 3D Sensor and labeling workflows including Bounding Box, Action Recognition, and Segmentation.

Labeling Experience

3D LiDAR Annotator for Autonomous Driving

Mercor3D SensorSegmentation

Executed 3D point cloud segmentation and labeling for autonomous vehicle datasets. Used LiDAR data to create segmented object labels critical for real-world perception systems. Provided feedback to improve labeling efficiency and dataset structure. • Applied segmentation and object detection labeling in LiDAR sensor data. • Collaborated on high-profile datasets for autonomous driving AI. • Used internal and external annotation tools for 3D data processing. • Contributed data to models in production environments.

Executed 3D point cloud segmentation and labeling for autonomous vehicle datasets. Used LiDAR data to create segmented object labels critical for real-world perception systems. Provided feedback to improve labeling efficiency and dataset structure. • Applied segmentation and object detection labeling in LiDAR sensor data. • Collaborated on high-profile datasets for autonomous driving AI. • Used internal and external annotation tools for 3D data processing. • Contributed data to models in production environments.

2019 - Present

Video Data Annotator (Freelance)

VideoAction Recognition

Worked on video annotation projects involving keyframe tracking, temporal event annotation, and action recognition tasks. My responsibilities included labeling complex video sequences and providing detailed feedback to improve project guidelines. I handled a high volume of assets while maintaining excellent quality standards. • Delivered end-to-end pipelines for video annotation projects. • Performed action and motion recognition labeling for AI models. • Processed thousands of video frames per day using advanced platforms. • Documented edge cases and contributed to annotation best practices.

Worked on video annotation projects involving keyframe tracking, temporal event annotation, and action recognition tasks. My responsibilities included labeling complex video sequences and providing detailed feedback to improve project guidelines. I handled a high volume of assets while maintaining excellent quality standards. • Delivered end-to-end pipelines for video annotation projects. • Performed action and motion recognition labeling for AI models. • Processed thousands of video frames per day using advanced platforms. • Documented edge cases and contributed to annotation best practices.

2019 - Present

Senior Data Annotator (Images & Computer Vision)

MindriftImageBounding Box

As a Senior Data Annotator, I delivered high-quality labeled image datasets using bounding boxes, polygons, and various segmentation techniques. I ensured consistency and accuracy for computer vision models in AI and machine learning applications. I collaborated with QA and engineering teams to resolve ambiguities and improve annotation guidelines. • Processed large-scale image datasets for object detection and classification. • Achieved a maintained accuracy score of over 98% across main platforms. • Applied advanced annotation tools such as Mindrift, Outlier, and Mercor. • Developed internal automation scripts to streamline pre-processing and quality assurance.

As a Senior Data Annotator, I delivered high-quality labeled image datasets using bounding boxes, polygons, and various segmentation techniques. I ensured consistency and accuracy for computer vision models in AI and machine learning applications. I collaborated with QA and engineering teams to resolve ambiguities and improve annotation guidelines. • Processed large-scale image datasets for object detection and classification. • Achieved a maintained accuracy score of over 98% across main platforms. • Applied advanced annotation tools such as Mindrift, Outlier, and Mercor. • Developed internal automation scripts to streamline pre-processing and quality assurance.

2019 - Present

Education

Work History