Emeka S.

Key Skills

Software

CVAT

Internal/Proprietary Tooling

Label Studio

Roboflow

Top Subject Matter

Computer Vision and AI data annotation (NER for text

multi-modal labeling)

AI data annotation (audio transcription within multi-modal pipelines)

Top Data Types

Image

Text

Audio

Top Task Types

Text Generation

Object Detection

Question Answering

Text Summarization

Entity (NER) Classification

Transcription

Classification

Freelancer Overview

Data Annotation Specialist (Human-in-the-Loop + NER configuration). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Roboflow. Education includes Bachelor of Science, Nnamdi Azikiwe University (2021). AI-training focus includes data types such as Text and Audio and labeling workflows including Entity (NER) Classification, Transcription, and Classification.

Labeling Experience

Data Annotation Specialist (Training data export + QC for HITL)

RoboflowTextClassification

Created and exported high-quality training data for model architectures using Human-in-the-Loop labeling workflows. Produced outputs in multiple formats such as COCO, YOLO, JSON, and CSV for different training pipelines. Implemented quality control processes to preserve consistent labeling across annotators. • Tailored exports for YOLOv8 (vision) and BERT (text) pipelines. • Used AI-assisted labeling to decrease time-to-delivery for 10k+ batches. • Ensured labeling consistency through QC protocols and reviewer checks. • Produced training-ready datasets in diverse schema formats.

2024 - 2025

Data Annotation Specialist (Audio transcription annotation + HITL)

Label StudioAudioTranscription

Performed audio transcription-related annotation within multi-modal Label Studio projects. Enabled faster labeling using Human-in-the-Loop connections between pre-trained models and Label Studio APIs. Maintained annotation quality using Label Studio reviewer/annotator role-based checks and QC protocols. • Annotated transcribed segments for audio inputs. • Integrated model-assisted suggestions to reduce labeling time for batches. • Applied QC workflows to keep inter-annotator agreement above 0.9. • Exported dataset outputs in COCO/YOLO/JSON/CSV-compatible structures for training.

2024 - 2025

Data Annotation Specialist (Human-in-the-Loop + NER configuration)

Label StudioTextEntity (NER) Classification

Designed and configured Label Studio for multi-modal annotation projects including Named Entity Recognition (NER) for text. Implemented Human-in-the-Loop workflows by connecting pre-trained models to Label Studio via APIs to speed up annotation. Conducted quality control processes to maintain strong inter-annotator agreement during dataset creation. • Labeled and verified NER entities for text inputs. • Set up Human-in-the-Loop assistant predictions via Label Studio APIs. • Used QC roles/features to validate annotations and improve consistency. • Exported annotated data to COCO/YOLO/JSON/CSV formats for training.

2024 - 2025

Education

Work History