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Adeola Abiola James

Adeola Abiola James

2+ Years Experience | 3D, Video, Audio & LLM (Text-to-Image) Expert

Nigeria flagIbadan, Nigeria
$15.00/hrIntermediateAppenCVATEncord

Key Skills

Software

AppenAppen
CVATCVAT
EncordEncord
LabelboxLabelbox
MindriftMindrift
Other
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Bounding BoxBounding Box
CuboidCuboid
Evaluation/RatingEvaluation/Rating
Object DetectionObject Detection
PolygonPolygon

Freelancer Overview

Skilled data-annotation specialist focused on Image, Video, Text, and Geospatial datasets for ML pipelines. Expert in high-volume 2-D/3-D bounding-box, polygon segmentation, satellite/aerial feature tagging, plus NER, intent, and RLHF text ranking via CVAT, Label Studio, SRT and Encord. Delivered +250 k labels for e-commerce catalogues, ADAS cuboids, flood-mapping polygons, and LLM chat-ranking while maintaining good QA pass rate.

IntermediateFrenchEnglish

Labeling Experience

Face Swap

Internal Proprietary ToolingImageEmotion RecognitionObject Detection
I reviewed over 2000+ manipulated portraits and scored every sample pass/fail for emotion recognition, swapped-face detection, hair transfer, identity preservation, skin-tone retention, style consistency, and accessories alignment; maintained 97% QA score.

I reviewed over 2000+ manipulated portraits and scored every sample pass/fail for emotion recognition, swapped-face detection, hair transfer, identity preservation, skin-tone retention, style consistency, and accessories alignment; maintained 97% QA score.

2025

Standalone error-tagging project

Internal Proprietary ToolingImageEvaluation Rating
Standalone error-tagging project: evaluated over 10,000 AI-generated images for artefacts, prompt-mismatch and quality defects, assigning severity scores; maintained 98% average QA pass rate across all batches.

Standalone error-tagging project: evaluated over 10,000 AI-generated images for artefacts, prompt-mismatch and quality defects, assigning severity scores; maintained 98% average QA pass rate across all batches.

2024

3Dfication

Internal Proprietary ToolingGeospatial Tiled ImageryPolygonPoint Key Point
Identified target objects in 2-D images, drew tight polygons around them, then aligned the corresponding mesh to each object’s 3-D point-cloud; delivered 300 annotated meshes with sub-pixel alignment accuracy and 96 % QA pass.

Identified target objects in 2-D images, drew tight polygons around them, then aligned the corresponding mesh to each object’s 3-D point-cloud; delivered 300 annotated meshes with sub-pixel alignment accuracy and 96 % QA pass.

2025 - 2025

Education

F

Federal University of Agriculture, Abeokuta

Bachelor of Agriculture, Agricultural Extension and Rural Development

Bachelor of Agriculture
2012 - 2018

Work History

H

Hugo Technologies

Data Annotator

Chicago
2024 - Present
A

Accessible Publisher Limited

Creative Artist

Ibadan
2023 - Present