Ebenezer A.

Key Skills

Software

Other

iMerit

Encord

Top Subject Matter

Robotics and humanoid/AI training data (video understanding)

NLP and vision/image recognition and video understanding datasets

Pose estimation and spatial understanding (segmentation/keypoints)

Top Data Types

Video

Image

Top Task Types

Tracking

Object Detection

Segmentation

Freelancer Overview

Core strengths include Other, iMerit, and Encord. Education includes Bachelor of Technology, Federal University of Technology, Minna and Data Annotation and AI Training Certification, N/A. AI-training focus includes data types such as Video and Image and labeling workflows including Tracking, Object Detection, and Segmentation.

Labeling Experience

Freelance Data Annotation Specialist — Segmentation & Keypoint Tasks (2023–Present)

EncordImageSegmentation

Conducted segmentation and keypoint labeling to train spatial understanding and body pose estimation models. Produced pixel-level segmentation labels and point/keypoint marks aligned to body structures. Ensured label correctness through self-review and peer-review processes prior to submission. • Performed pixel-level segmentation for body pose and spatial understanding models. • Marked points/keypoints for pose estimation datasets. • Completed self-review and peer-review QA before submission. • Maintained accuracy above 95% during delivery.

2023 - Present

Freelance Data Annotation Specialist (Independent / Multiple Platforms) — Video Annotation (2023–Present)

OtherVideoTracking

Provided video annotation for object tracking to support AI model training in robotics and humanoid contexts. Annotated frames with consistent object boundary labeling and temporal understanding for downstream learning. Implemented self-review and peer-review cycles to reach high submission quality before delivery. • Labeled video datasets for object tracking, action recognition, and scene understanding. • Applied precise bounding/object annotations across diverse environments. • Performed QA checks, including self-review and peer-review cycles. • Followed project-specific labeling guidelines and maintained quality above 95%.

2023 - Present

AI Data Contributor (iMerit & Independent Projects) — Object Detection & Classification (2021–2023)

iMeritImageObject Detection

Generated labeled datasets for image recognition and video understanding to train AI systems. Labeled object instances using bounding box annotations across multi-class categories. Maintained strong inter-annotator agreement and followed structured workflows from task intake through review and delivery. • Annotated thousands of frames with precise bounding boxes for object categories. • Applied multi-label classification/tagging to images and video clips. • Maintained high inter-annotator agreement on complex multi-class tasks. • Documented labeling logs and adhered to project-specific guidelines.

2021 - 2023

Education

Work History