Martin Ngao

Key Skills

Software

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I am a Computer Science graduate with hands-on experience in data analysis, data cleaning, and software development, which has given me a strong foundation for roles in data labeling and AI training data. My academic projects involved using Python (Pandas, NumPy) for data analysis and creating visual reports to support data-driven decisions, while my coursework covered areas like artificial intelligence, machine learning basics, and database management. I am skilled in tools such as SQL, Git, and Linux, and I have a keen eye for detail, analytical thinking, and a fast-learning mindset. I am eager to contribute to high-quality data annotation and training processes in AI-driven environments, ensuring accuracy and efficiency in data preparation for machine learning models.

Labeling Experience

image annotation

ClickworkerImageBounding Box

Worked on an ongoing data labeling project focused on autonomous vehicle systems using the Clickworker platform. The scope of the project involved annotating and validating visual and sensor-based datasets to support machine learning models for self-driving technology. Tasks included image and video annotation such as bounding boxes, object classification, lane marking, traffic signs, pedestrians, and vehicles. Ensured high accuracy by strictly following annotation guidelines, performing quality checks, and correcting inconsistencies. Contributed to maintaining data quality standards through attention to detail, consistency reviews, and compliance with project-specific quality assurance measures.

Worked on an ongoing data labeling project focused on autonomous vehicle systems using the Clickworker platform. The scope of the project involved annotating and validating visual and sensor-based datasets to support machine learning models for self-driving technology. Tasks included image and video annotation such as bounding boxes, object classification, lane marking, traffic signs, pedestrians, and vehicles. Ensured high accuracy by strictly following annotation guidelines, performing quality checks, and correcting inconsistencies. Contributed to maintaining data quality standards through attention to detail, consistency reviews, and compliance with project-specific quality assurance measures.

2024

Education

Work History