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Blessed M.

Blessed M.

AI Data Trainer / Image Annotation Specialist

Kenya flagNairobi, Kenya

Key Skills

Software

Other
LabelboxLabelbox
CVATCVAT
V7 LabsV7 Labs
SuperviselySupervisely
MindriftMindrift
TelusTelus

Top Subject Matter

AI Speech Recognition/Data Annotation
AI Model Training/Data Annotation

Top Data Types

AudioAudio
ImageImage

Top Task Types

TranscriptionTranscription
Bounding BoxBounding Box

Freelancer Overview

AI Data Trainer / Image Annotation Specialist. Core strengths include Labelbox, CVAT, and V7 Labs. Education includes Certificate, AIDRALabs (2023) and Bachelor of Science, Egerton University (2019). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Labelbox

AI Data Trainer / Image Annotation Specialist

LabelboxLabelboxImageImageBounding BoxBounding Box

As an AI Data Trainer and Image Annotation Specialist, I reviewed and validated AI-generated annotations for object detection and classification tasks. I annotated images with detailed metadata, addressed edge cases, and maintained consistent annotation quality. I provided structured feedback to improve model accuracy and analyzed segmentation outputs for precision. • Evaluated and corrected bounding boxes, segmentation masks, and classification labels • Worked on real-world datasets such as traffic scenes, product catalogs, and human activity images • Addressed edge cases including occlusion, overlaps, and ambiguous labels • Used tools like Labelbox, CVAT, V7, Supervisely, Mindrift, and Telus for annotation tasks.

2023 - Present

Education

E

Egerton University

Bachelor of Science, Science

Bachelor of Science
2015 - 2019
A

AIDRALabs

Certificate, Artificial Intelligence Data Training

Certificate
2023