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Adei Mohammed Nagi A.

Freelance AI Data Trainer & Annotation Specialist (Remote)

Key Skills

Software

CVATCVAT
Other

Top Subject Matter

Computer vision dataset annotation (object detection) and multi-modal dataset quality auditing.
Sports analytics and volleyball image annotation for motion-focused computer vision training.
Legal Services & Contract Review

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
TrackingTracking

Freelancer Overview

Freelance AI Data Trainer & Annotation Specialist (Remote). Core strengths include CVAT and Other. Education includes Bachelor of Science, N/A (2025). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Tracking.

Labeling Experience

Sports Analytics Object Labeling (Volleyball Datasets)

OtherImageImageTrackingTracking

Sports Analytics Object Labeling milestone focusing on dataset preparation for rapid-motion object tracking in volleyball imagery. Labeled sports frames using dynamic bounding boxes under critical quality restrictions. The output supported reliable training data for motion-focused computer vision models. • Parsed and annotated large-scale sports imagery. • Used dynamic bounding boxes to capture objects accurately. • Maintained consistency when tracking rapid object motion despite blur/fast transitions. • Followed rigorous operational frameworks for quality compliance.

2026 - Present
CVAT

Freelance AI Data Trainer & Annotation Specialist (Remote)

CVATCVATImageImageBounding BoxBounding Box

Freelance AI Data Trainer & Annotation Specialist providing high-precision computer vision labeling for machine learning dataset creation. Work centered on object labeling and bounding box placement with strict adherence to complex project instructions and quality requirements. Annotations were produced to accelerate downstream model readiness and improve dataset reliability. • Perform accurate image annotation, object labeling, and bounding box placements in CVAT. • Audit multi-modal datasets (audio, text, images) for compliance with guidelines. • Complete labeling micro-tasks with near-zero error rates for faster ML turnaround. • Support dataset curation for object detection and related computer vision workflows.

2026 - Present

Education

N

N/A

Bachelor of Science, Robotics Engineering

Bachelor of Science
2025