Key Skills

Software

Appen

CloudFactory

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Data Collection

Mapping

Object Detection

Polygon

Prompt + Response Writing (SFT)

Freelancer Overview

I have over three years of hands-on experience in AI data annotation and training data preparation, working with global platforms including CloudFactory, Appen, and RWS. My expertise spans annotating images, videos, and text for computer vision and natural language processing (NLP) projects, using tools such as CVAT, Labelbox, and in-house annotation systems. I have contributed to projects involving object detection, segmentation, machine translation evaluation, LLM response refinement, and semantic similarity scoring, ensuring high-quality datasets that power advanced AI models. What sets me apart is my ability to balance accuracy, speed, and consistency across diverse and complex annotation tasks. I am skilled at fact-checking, intent verification, prompt engineering, and quality assurance, with a proven track record of exceeding accuracy benchmarks while meeting deadlines. With multilingual experience in English, Kiswahili, and Korean, I bring cultural and linguistic depth to AI training data, making me well-suited for projects that demand precision, adaptability, and collaboration with cross-functional teams.

Labeling Experience

Education

Work History