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Chinedu Eze

AI Trainer – Magic Newton Foundation

ExpertOtherLabelboxAppen

Key Skills

Software

Other
LabelboxLabelbox
AppenAppen
CVATCVAT

Top Subject Matter

AI Agent Training for DeFi Tasks
AI Training
Image/Video Annotation

Top Data Types

TextText
ImageImage
VideoVideo
AudioAudio

Top Task Types

SegmentationSegmentation
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
TranscriptionTranscription
Object DetectionObject Detection

Freelancer Overview

AI Trainer – Magic Newton Foundation. Core strengths include Other, Labelbox, and Capcut. AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Evaluation, Rating, and Segmentation.

Expert

Labeling Experience

Prompting and Video Animation – Capcut

VideoPrompt Response Writing SFT
For Capcut, I created and delivered high-resolution animated comical series using AI video editing and prompting tools. My responsibilities included generating creative prompts and leveraging AI to enhance video narratives. I utilized advanced AI voice generation and editing technologies to optimize output. • Used ElevenLabs and Capcut for professional video production. • Incorporated ChatGPT & Claude as prompting AI models. • Developed and edited scripts to align with story objectives. • Enhanced video quality and AI integration in workflow.

For Capcut, I created and delivered high-resolution animated comical series using AI video editing and prompting tools. My responsibilities included generating creative prompts and leveraging AI to enhance video narratives. I utilized advanced AI voice generation and editing technologies to optimize output. • Used ElevenLabs and Capcut for professional video production. • Incorporated ChatGPT & Claude as prompting AI models. • Developed and edited scripts to align with story objectives. • Enhanced video quality and AI integration in workflow.

2025 - 2025
Labelbox

AI Specialist & Trainer – Silencio

LabelboxImageSegmentation
As an AI Specialist & Trainer at Silencio, I performed advanced annotation on both video and image datasets. I led workshops, mentored new annotators, and managed quality evaluation for annotated outputs. I introduced feedback systems to refine annotation schemas and ensure accuracy. • Created onboarding materials to streamline annotator integration. • Evaluated outputs for accuracy and consistency. • Adjusted annotation rules to match model requirements. • Conducted correction passes to improve label quality.

As an AI Specialist & Trainer at Silencio, I performed advanced annotation on both video and image datasets. I led workshops, mentored new annotators, and managed quality evaluation for annotated outputs. I introduced feedback systems to refine annotation schemas and ensure accuracy. • Created onboarding materials to streamline annotator integration. • Evaluated outputs for accuracy and consistency. • Adjusted annotation rules to match model requirements. • Conducted correction passes to improve label quality.

2025 - 2025

AI Trainer – Magic Newton Foundation

OtherText
As an AI Trainer at Magic Newton Foundation, I supported the early deployment and training of an AI agent for DeFi tasks. My work included labeling and evaluating text-based tasks designed to simulate both simple and complex financial scenarios. I ensured the creation of reliable training datasets through a rigorous workflow. • Carried out multiple Q&A cycles to validate annotation accuracy. • Developed workflow optimizations for data consistency. • Ensured high-quality task completion by auditing outputs. • Collaborated remotely with development teams.

As an AI Trainer at Magic Newton Foundation, I supported the early deployment and training of an AI agent for DeFi tasks. My work included labeling and evaluating text-based tasks designed to simulate both simple and complex financial scenarios. I ensured the creation of reliable training datasets through a rigorous workflow. • Carried out multiple Q&A cycles to validate annotation accuracy. • Developed workflow optimizations for data consistency. • Ensured high-quality task completion by auditing outputs. • Collaborated remotely with development teams.

2025 - 2025
Appen

Quality Assurance & Task Evaluation

AppenText
In my role performing Quality Assurance & Task Evaluation, I focused on checking work quality and improving labeling instructions. I wrote clear guidelines and documented cases to help reduce confusion and improve labeling accuracy. I drove team workflow improvements resulting in more reliable datasets for AI models. • Consistently checked outputs using grading rubrics and audits. • Documented tricky edge cases for future team reference. • Improved consistency and reliability in produced datasets. • Created detailed reports to guide ongoing workflow adjustments.

In my role performing Quality Assurance & Task Evaluation, I focused on checking work quality and improving labeling instructions. I wrote clear guidelines and documented cases to help reduce confusion and improve labeling accuracy. I drove team workflow improvements resulting in more reliable datasets for AI models. • Consistently checked outputs using grading rubrics and audits. • Documented tricky edge cases for future team reference. • Improved consistency and reliability in produced datasets. • Created detailed reports to guide ongoing workflow adjustments.

2023 - 2025
Labelbox

Video & Image Annotation

LabelboxImageObject Detection
I labeled data for object detection, semantic segmentation, and action recognition in video and image datasets. My tasks included annotating bounding boxes, polygons, and keypoints for pose estimation, as well as identifying visual attributes like occlusion and motion blur. I refined annotation guidelines and corrected errors through additional passes. • Performed object detection and semantic segmentation. • Used keypoint annotation for pose estimation tasks. • Identified and tagged challenging visual attributes. • Contributed to improving annotation guidelines.

I labeled data for object detection, semantic segmentation, and action recognition in video and image datasets. My tasks included annotating bounding boxes, polygons, and keypoints for pose estimation, as well as identifying visual attributes like occlusion and motion blur. I refined annotation guidelines and corrected errors through additional passes. • Performed object detection and semantic segmentation. • Used keypoint annotation for pose estimation tasks. • Identified and tagged challenging visual attributes. • Contributed to improving annotation guidelines.

2024 - 2024

Education

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Work History

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