Irene W.

Key Skills

Software

Label Studio

Other

Top Subject Matter

NLP (sentiment analysis, text classification) and AI response evaluation

Computer vision (image segmentation, object detection)

Dataset preparation and validation (spreadsheets/records)

Top Data Types

Text

Image

Document

Top Task Types

Classification

Segmentation

Data Collection

Freelancer Overview

Freelance AI Data Trainer & Data Labeler (Remote). Core strengths include Label Studio, CVAT, and Other. Education includes Bachelor’s Degree, Jomo Kenyatta University of Agriculture and Technology (JKUAT). AI-training focus includes data types such as Text, Image, and Document and labeling workflows including Classification, Segmentation, and Data Collection.

Labeling Experience

Freelance AI Data Trainer & Data Labeler (Remote)

CVATImageSegmentation

Created labeled image annotations for computer vision datasets to support object recognition and related tasks. Conducted image segmentation along with object detection and bounding box annotation workflows. Maintained high annotation consistency by adhering to project-specific labeling guidelines and running quality assurance checks. • Image segmentation labeling • Object detection and bounding boxes • Accuracy/consistency validation • Fixing labeling inconsistencies before delivery

2024 - Present

Freelance AI Data Trainer & Data Labeler (Remote)

Label StudioTextClassification

Provided text categorization and sentiment analysis to support NLP model training and evaluation. Reviewed AI-generated responses for relevance, safety, and accuracy, then supplied quality ratings to improve model outputs. Ensured consistency by following annotation guidelines and performing quality checks before dataset submission. • Sentiment analysis for NLP/NLU models • Text categorization/classification • Quality rating of AI responses • Validation and inconsistency correction prior to submission

2024 - Present

Data Entry Assistant (Freelance, Remote)

OtherDocumentData Collection

Supported preparation of structured datasets by organizing, cleaning, and verifying raw data in spreadsheets. Checked for and corrected data inaccuracies and inconsistencies to improve dataset quality. Helped prepare analytics-ready and AI-related datasets for downstream use. • Dataset organization and cleaning • Data accuracy verification and fixes • Spreadsheet/database inconsistency correction • Structured dataset preparation for analytics/AI

2023 - 2023

Education

Work History