I am a highly detail-oriented and tech-savvy professional with hands-on experience in data annotation and data labelling for Artificial Intelligence (AI) and Machine Learning (ML) model training. I specialise in creating high-quality training datasets by accurately annotating and validating data to ensure consistency, reliability, and model readiness.
I have a strong understanding of annotation guidelines, quality benchmarks, and project-specific instructions, which allows me to deliver precise and scalable results across diverse AI training tasks.
Core Skills
Data Annotation & Data Labelling
AI/ML Training Data Preparation
Data Quality Assurance & Validation
Attention to Detail & Accuracy
Guideline Interpretation & Compliance
Organizational & Analytical Skills
Technical Proficiency in Annotation Workflows
Experience
Performed various data annotation and labeling tasks for AI/ML training projects
Ensured high annotation accuracy through careful review and quality checks
Followed strict project guidelines, rubrics, and quality standards
Worked efficiently on repetitive and large-scale datasets while maintaining consistency
Tools & Platforms:
Label Studio
Annotation Lab
Google Cloud Data Labelling
Other web-based annotation and evaluation tools
Career Objective:
Seeking a challenging role in AI training data annotation and labelling where I can apply my attention to detail, technical skills, and quality-focused approach to support accurate model development and deployment.