Pauline Chiemah

Key Skills

Software

CVAT

Labelbox

Label Studio

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Bounding Box

Classification

Cuboid

Emotion Recognition

Freelancer Overview

As a part-time Data Annotator at Avala AI, I specialize in transforming raw, multimodal datasets into high-quality training inputs that power cutting-edge AI systems—including autonomous vehicles, NLP models, and generative AI. My expertise spans 2D and 3D annotation, LiDAR and point cloud processing, image and text labeling, and object detection and segmentation. I’ve worked extensively with platforms like CVAT, Labelbox, and Label Studio, and I use Python scripting to streamline annotation workflows and automate repetitive tasks, ensuring both scalability and precision. What sets me apart is my ability to balance technical rigor with ethical awareness. I bring a sharp eye for detail and a commitment to data integrity, whether curating generative AI prompts or labeling sentiment in audio conversations. My work consistently meets high-performance benchmarks while aligning with responsible AI development standards. By staying current with emerging tools and data ethics practices, I ensure that every dataset I touch contributes meaningfully to transparent, reliable, and future-ready AI systems.

Labeling Experience

Education

Work History