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Abiodun

AI Data & Model Evaluation Specialist – AI Video Intelligence (EgoHowTo)

Nigeria flagAdo Ekiti, Nigeria
$7.00/hrExpertAppenClickworkerOneforma

Key Skills

Software

AppenAppen
ClickworkerClickworker
OneFormaOneForma
TolokaToloka

Top Subject Matter

Computer Vision
Video Intelligence
3D Spatial Recognition

Top Data Types

VideoVideo
3D Sensor
ImageImage
TextText
DocumentDocument

Top Task Types

Object Detection
Segmentation
Classification

Freelancer Overview

AI Data & Model Evaluation Specialist – AI Video Intelligence (EgoHowTo). Core strengths include Internal and Proprietary Tooling. Education includes Bachelor's Degree, Osun State University (2021). AI-training focus includes data types such as Video, 3D Sensor, and Image and labeling workflows including Object Detection, Segmentation, and Evaluation.

ExpertEnglishYoruba

Labeling Experience

AI Data & Model Evaluation Specialist – Advanced Avatar Motion & Rendering Diagnostics (AI Character)

VideoClassification
For the AI Character project at Hugo, I performed biomechanical motion diagnostics of generative AI avatars. I analyzed animation artifacts, conducted frame-level indexing, and classified motion defects for enhanced model realism. My structured defect reporting contributed directly to model refinement and rendering improvements. • Detected skeletal misalignments, mesh penetration, and joint distortions. • Executed precise temporal segmentation for defect identification. • Coordinated with technical teams to optimize avatar motion quality. • Provided actionable feedback to improve generative rendering.

For the AI Character project at Hugo, I performed biomechanical motion diagnostics of generative AI avatars. I analyzed animation artifacts, conducted frame-level indexing, and classified motion defects for enhanced model realism. My structured defect reporting contributed directly to model refinement and rendering improvements. • Detected skeletal misalignments, mesh penetration, and joint distortions. • Executed precise temporal segmentation for defect identification. • Coordinated with technical teams to optimize avatar motion quality. • Provided actionable feedback to improve generative rendering.

2024 - 2026

AI Data & Model Evaluation Specialist – Multimodal Generative AI Evaluation (AI Agent Assessment)

Image
For Hugo's AI Agent Assessment, I evaluated AI-generated avatars using both qualitative and quantitative frameworks. This involved rating visual fidelity, identity, rendering style, and speech characteristics through structured evaluation criteria. I provided benchmarking analyses for reinforcement learning and model optimization. • Applied absolute and relative scoring systems for avatars. • Benchmarked model outputs for stylistic alignment and realism. • Delivered detailed performance assessments for AI agents. • Ensured calibration and bias-awareness in evaluation processes.

For Hugo's AI Agent Assessment, I evaluated AI-generated avatars using both qualitative and quantitative frameworks. This involved rating visual fidelity, identity, rendering style, and speech characteristics through structured evaluation criteria. I provided benchmarking analyses for reinforcement learning and model optimization. • Applied absolute and relative scoring systems for avatars. • Benchmarked model outputs for stylistic alignment and realism. • Delivered detailed performance assessments for AI agents. • Ensured calibration and bias-awareness in evaluation processes.

2024 - 2026

AI Data & Model Evaluation Specialist – 3D Spatial Recognition & Mesh Calibration (3dfy)

3D SensorSegmentation
Within the 3dfy project at Hugo, I performed 2D-3D mesh alignment to support spatial recognition models. Tasks required pixel-level geometric accuracy, segmentation labeling, and consistency across object classes. I played a key role in ensuring mesh calibration integrity to enhance model performance. • Executed multi-phase mesh alignment and calibration tasks. • Improved dataset consistency through advanced spatial reasoning. • Adhered to high annotation quality standards for complex environments. • Contributed directly to spatial recognition model validation and optimization.

Within the 3dfy project at Hugo, I performed 2D-3D mesh alignment to support spatial recognition models. Tasks required pixel-level geometric accuracy, segmentation labeling, and consistency across object classes. I played a key role in ensuring mesh calibration integrity to enhance model performance. • Executed multi-phase mesh alignment and calibration tasks. • Improved dataset consistency through advanced spatial reasoning. • Adhered to high annotation quality standards for complex environments. • Contributed directly to spatial recognition model validation and optimization.

2024 - 2026

AI Data & Model Evaluation Specialist – AI Video Intelligence (EgoHowTo)

VideoObject Detection
As an AI Data & Model Evaluation Specialist at Hugo, I led video annotation projects for computer vision model training. My work involved high-volume video annotation, object identification, spatial placement, and QA-driven labeling accuracy. I collaborated closely with teams to align context-aware annotation workflows with established AI training frameworks. • Consistently maintained strict QA standards for annotation accuracy. • Delivered spatially detailed object labeling and placement information. • Applied structured reasoning and evidence-based responses throughout annotation tasks. • Managed multiple annotation projects to optimize dataset quality.

As an AI Data & Model Evaluation Specialist at Hugo, I led video annotation projects for computer vision model training. My work involved high-volume video annotation, object identification, spatial placement, and QA-driven labeling accuracy. I collaborated closely with teams to align context-aware annotation workflows with established AI training frameworks. • Consistently maintained strict QA standards for annotation accuracy. • Delivered spatially detailed object labeling and placement information. • Applied structured reasoning and evidence-based responses throughout annotation tasks. • Managed multiple annotation projects to optimize dataset quality.

2024 - 2026

AI Video Annotation Specialist (UOLO V2 – Live Dataset Optimization)

VideoObject Detection
As an AI Video Annotation Specialist at GenCrowd, I managed live video capture and structured annotation for dataset optimization. My responsibilities included framing, camera positioning, and ensuring data quality compliance for computer vision tasks. This work helped improve computer vision model accuracy through integrity-focused annotation. • Coordinated live data collection and video annotation workflows. • Guaranteed high standards for annotation and camera setup. • Maintained strict dataset quality throughout the annotation process. • Enhanced vision model performance via meticulous labeling.

As an AI Video Annotation Specialist at GenCrowd, I managed live video capture and structured annotation for dataset optimization. My responsibilities included framing, camera positioning, and ensuring data quality compliance for computer vision tasks. This work helped improve computer vision model accuracy through integrity-focused annotation. • Coordinated live data collection and video annotation workflows. • Guaranteed high standards for annotation and camera setup. • Maintained strict dataset quality throughout the annotation process. • Enhanced vision model performance via meticulous labeling.

2023 - 2024

Education

O

Osun State University

Bachelor's Degree, Economics

Bachelor's Degree
2017 - 2021

Work History

L

Lagos State Public Works

Junior budget officer

Lagos
2021 - 2022