Shaline Wanjiku

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Question Answering

Freelancer Overview

I am a detail-oriented professional with 4 years of experience working remotely on data verification, content quality checks, and testing tasks for global clients. My background in manual software testing and bug identification has given me a strong foundation in ensuring data accuracy and high-quality outputs, which directly supports data labeling and AI training data projects. I am skilled in following test cases, validating information, and using tools like Google Docs, Sheets, and various remote work platforms. My fast typing speed, analytical mindset, and commitment to meeting deadlines allow me to efficiently handle large volumes of data while maintaining precision. I am passionate about supporting AI systems through reliable data annotation and quality assurance, and I am eager to contribute my skills to innovative tech teams.

Labeling Experience

AI DATA LABELLING SPECIALIST

Data Annotation TechTextQuestion Answering

Performed data labelling and annotation of text dataset to support machine learning and artificial intelligence model training.Classified ,categorized and analyzed conversational data for sentiment and intent recognition.Ensured accuracy and consistency by following project guidelines and quality standards.Conducted data validation and content moderation tasks to improve AI system perfomance .Collaborated with projects teams to review annotated data and maintain high quality training datasets

Performed data labelling and annotation of text dataset to support machine learning and artificial intelligence model training.Classified ,categorized and analyzed conversational data for sentiment and intent recognition.Ensured accuracy and consistency by following project guidelines and quality standards.Conducted data validation and content moderation tasks to improve AI system perfomance .Collaborated with projects teams to review annotated data and maintain high quality training datasets

2023 - 2025

Education

Work History