Norah Njagi

Key Skills

Software

Labelbox

Appen

Remotasks

Toloka

Supervisely

Top Subject Matter

Computer Vision

Natural Language Processing

general data and AI training data

Top Data Types

Image

Text

Top Task Types

Bounding Box

Entity Ner Classification

Classification

Freelancer Overview

AI Data Labeler. Core strengths include Labelbox, Appen, and Remotasks. Education includes Diploma or Degree, N/A (2024). AI-training focus includes data types such as Image, Text, and Structured Data and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Labeling Experience

AI Data Labeler

TolokaClassification

My responsibilities included structured data labeling to support various AI and machine learning applications. Tasks involved the classification and organization of structured or tabular datasets to support downstream analytical models. I prioritized accuracy and compliance with project requirements throughout the annotation lifecycle. • Labeled and classified structured/tabular data for ML projects • Adhered to strict project and data quality guidelines • Used labeling tools to efficiently process large volumes of data • Successfully supported multiple AI projects with quality annotated data

My responsibilities included structured data labeling to support various AI and machine learning applications. Tasks involved the classification and organization of structured or tabular datasets to support downstream analytical models. I prioritized accuracy and compliance with project requirements throughout the annotation lifecycle. • Labeled and classified structured/tabular data for ML projects • Adhered to strict project and data quality guidelines • Used labeling tools to efficiently process large volumes of data • Successfully supported multiple AI projects with quality annotated data

2024 - Present

AI Data Labeler

AppenTextEntity Ner Classification

In this role, I labeled and categorized text data for NLP applications such as sentiment analysis, entity recognition, and topic categorization. My tasks included the identification and classification of entities, sentiment, and relevant categories in complex datasets. I followed detailed project instructions and upheld data integrity across all deliverables. • Labeled text data for sentiment analysis, categorization, and NER tasks • Ensured consistency and accuracy in entity and sentiment detection • Utilized annotation tools for effective and efficient data processing • Met tight deadlines while maintaining high-quality standards

In this role, I labeled and categorized text data for NLP applications such as sentiment analysis, entity recognition, and topic categorization. My tasks included the identification and classification of entities, sentiment, and relevant categories in complex datasets. I followed detailed project instructions and upheld data integrity across all deliverables. • Labeled text data for sentiment analysis, categorization, and NER tasks • Ensured consistency and accuracy in entity and sentiment detection • Utilized annotation tools for effective and efficient data processing • Met tight deadlines while maintaining high-quality standards

2024 - Present

AI Data Labeler

LabelboxImageBounding Box

As an AI Data Labeler, I annotated and labeled image datasets for computer vision tasks including object detection, segmentation, and classification. My work ensured high levels of quality, consistency, and accuracy to improve AI model performance. I utilized advanced annotation tools according to project guidelines and maintained rigorous quality standards. • Annotated large image datasets for object detection, segmentation, and classification • Maintained an accuracy rate exceeding 98% throughout all tasks • Conducted thorough reviews and validations of labeled data • Collaborated remotely to ensure data consistency and quality control

As an AI Data Labeler, I annotated and labeled image datasets for computer vision tasks including object detection, segmentation, and classification. My work ensured high levels of quality, consistency, and accuracy to improve AI model performance. I utilized advanced annotation tools according to project guidelines and maintained rigorous quality standards. • Annotated large image datasets for object detection, segmentation, and classification • Maintained an accuracy rate exceeding 98% throughout all tasks • Conducted thorough reviews and validations of labeled data • Collaborated remotely to ensure data consistency and quality control

2024 - Present

Education

Work History