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Chieletam Ibenne

Chieletam Ibenne

Senior Data Labeling Analyst

Nigeria flagUmuahia, Nigeria
ExpertScale AISamaImerit

Key Skills

Software

Scale AIScale AI
SamaSama
iMeritiMerit
Other

Top Subject Matter

Autonomous Vehicles
E-commerce & Customer Support
Medical Imaging & Speech Recognition

Top Data Types

3D Sensor
ImageImage
AudioAudio
TextText
DocumentDocument

Top Task Types

SegmentationSegmentation
PolygonPolygon
Bounding BoxBounding Box
TranscriptionTranscription

Freelancer Overview

Senior Data Labeling Analyst. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Sama, and iMerit. Education includes N/A, Alex Ekwueme Federal University Ndufu Alike (2025). AI-training focus includes data types such as 3D Sensor, Image, and Medical and labeling workflows including Segmentation, Polygon, and Bounding Box.

Expert

Labeling Experience

Scale AI

Senior Data Labeling Analyst

Scale AI3D SensorSegmentation
Led a team to label LiDAR frames for autonomous vehicle perception models, driving high inter-annotator agreement rates. Developed a decision-tree guide to address ambiguous cases, reducing pixel-level segmentation errors. Conducted daily annotation audits, improving junior labeler performance. • Weekly labeling throughput exceeded 10,000 LiDAR frames. • QA workflows resulted in 99.2% agreement scores. • Provided feedback that raised junior accuracy by 18% in 2 months. • Used CVAT and Scale AI for annotation tasks.

Led a team to label LiDAR frames for autonomous vehicle perception models, driving high inter-annotator agreement rates. Developed a decision-tree guide to address ambiguous cases, reducing pixel-level segmentation errors. Conducted daily annotation audits, improving junior labeler performance. • Weekly labeling throughput exceeded 10,000 LiDAR frames. • QA workflows resulted in 99.2% agreement scores. • Provided feedback that raised junior accuracy by 18% in 2 months. • Used CVAT and Scale AI for annotation tasks.

2023 - Present

Freelance Audio Transcriptionist

OtherAudioTranscription
Provided freelance audio transcription services for legal and academic domains. Delivered high-accuracy transcripts, resulting in strong client satisfaction. Worked with diverse audio data and maintained confidentiality in all assignments. • Completed 150+ hours of transcription in one year. • Achieved 99% customer satisfaction rating. • Managed legal and academic subject matter. • Used Audacity and other industry tools for transcription.

Provided freelance audio transcription services for legal and academic domains. Delivered high-accuracy transcripts, resulting in strong client satisfaction. Worked with diverse audio data and maintained confidentiality in all assignments. • Completed 150+ hours of transcription in one year. • Achieved 99% customer satisfaction rating. • Managed legal and academic subject matter. • Used Audacity and other industry tools for transcription.

2022 - 2023
Sama

Data Annotation Specialist

SamaImagePolygon
Labeled e-commerce product images with precise polygon masks and category tags, achieving high annotation accuracy. Worked with project managers on guideline refinements, significantly reducing clarification questions. Performed extensive Named Entity Recognition (NER) for customer support transcripts, including PII redaction. • Labeled over 15,000 product images for a major e-commerce client. • Weekly image annotation pace reached 1,200 images at 98.7% accuracy. • Processed 50,000+ text transcripts for NER and intent recognition. • Utilized SuperAnnotate and CVAT in daily workflows.

Labeled e-commerce product images with precise polygon masks and category tags, achieving high annotation accuracy. Worked with project managers on guideline refinements, significantly reducing clarification questions. Performed extensive Named Entity Recognition (NER) for customer support transcripts, including PII redaction. • Labeled over 15,000 product images for a major e-commerce client. • Weekly image annotation pace reached 1,200 images at 98.7% accuracy. • Processed 50,000+ text transcripts for NER and intent recognition. • Utilized SuperAnnotate and CVAT in daily workflows.

2021 - 2022
iMerit

Junior Data Labeler

ImeritBounding Box
Annotated thousands of medical X-ray images with bounding boxes to aid diagnostic AI research. Maintained high quality scores while handling sensitive healthcare data. Transcribed and timestamped multilingual audio for a speech recognition project. • Processed 5,000+ medical images with 99.3% quality scores. • Audio transcription volume exceeded 2,000 hours. • Recognized as 'Top Performer' for project execution. • Deployed Labelbox and CVAT for annotation consistency.

Annotated thousands of medical X-ray images with bounding boxes to aid diagnostic AI research. Maintained high quality scores while handling sensitive healthcare data. Transcribed and timestamped multilingual audio for a speech recognition project. • Processed 5,000+ medical images with 99.3% quality scores. • Audio transcription volume exceeded 2,000 hours. • Recognized as 'Top Performer' for project execution. • Deployed Labelbox and CVAT for annotation consistency.

2020 - 2021

Lead Annotator – Open-Source Medical Imaging Project (Kaggle)

OtherSegmentation
Served as lead annotator for a Kaggle-based medical imaging initiative, directing global volunteers in chest X-ray labeling. Designed and implemented a comprehensive QA rubric that raised annotation consistency. Oversaw labeling and quality review of a large open-source dataset. • Labeled over 8,000 chest X-ray images. • Enhanced annotation agreement by 7 percentage points. • Coordinated with an international all-volunteer team. • Utilized CVAT and Labelbox for quality management.

Served as lead annotator for a Kaggle-based medical imaging initiative, directing global volunteers in chest X-ray labeling. Designed and implemented a comprehensive QA rubric that raised annotation consistency. Oversaw labeling and quality review of a large open-source dataset. • Labeled over 8,000 chest X-ray images. • Enhanced annotation agreement by 7 percentage points. • Coordinated with an international all-volunteer team. • Utilized CVAT and Labelbox for quality management.

Not specified

Education

A

Alex Ekwueme Federal University Ndufu Alike

N/A, N/A

N/A
2025 - 2025

Work History

U

User Interviews

Quality Assurance Tester

Umuahia
2024 - Present
T

Test.io

Software QA Tester

Umuahia
2023 - 2024