Eimoh Me

Key Skills

Software

Labelbox

Top Subject Matter

Natural Language Processing (NLP)

Intent Classification

Entity Recognition

Top Data Types

Text

Image

Top Task Types

Entity Ner Classification

Object Detection

Freelancer Overview

Text Data Annotator (Freelancer). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, N/A. AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification and Object Detection.

Labeling Experience

Image Data Annotator (Freelancer)

LabelboxImageObject Detection

I performed large-scale data annotation and validation for computer vision tasks, supporting the development of object detection and segmentation models. Labeling involved drawing bounding boxes and segmenting objects in custom image datasets. The experience was integral to achieving over 90% model accuracy for client applications. • Annotated images for object detection and segmentation. • Validated dataset labeling consistency and accuracy. • Used Labelbox, OpenCV, and PyTorch for annotation and pipeline integration. • Supported YOLO-based model training for industrial equipment detection.

I performed large-scale data annotation and validation for computer vision tasks, supporting the development of object detection and segmentation models. Labeling involved drawing bounding boxes and segmenting objects in custom image datasets. The experience was integral to achieving over 90% model accuracy for client applications. • Annotated images for object detection and segmentation. • Validated dataset labeling consistency and accuracy. • Used Labelbox, OpenCV, and PyTorch for annotation and pipeline integration. • Supported YOLO-based model training for industrial equipment detection.

2022 - Present

Text Data Annotator (Freelancer)

LabelboxTextEntity Ner Classification

I annotated and validated over 10,000 text samples to support intent classification and entity recognition projects. The work involved following detailed annotation guidelines and ensuring data quality through multiple validation steps. I also provided feedback on labeling standards to improve overall annotation accuracy. • Labeled text samples for intent detection and named entity recognition. • Built and refined annotation quality assurance processes. • Used Labelbox and Hugging Face Transformers for annotation and validation. • Enhanced data quality, increasing annotation accuracy by 25%.

I annotated and validated over 10,000 text samples to support intent classification and entity recognition projects. The work involved following detailed annotation guidelines and ensuring data quality through multiple validation steps. I also provided feedback on labeling standards to improve overall annotation accuracy. • Labeled text samples for intent detection and named entity recognition. • Built and refined annotation quality assurance processes. • Used Labelbox and Hugging Face Transformers for annotation and validation. • Enhanced data quality, increasing annotation accuracy by 25%.

2022 - Present

Education

Work History