Cindy L.

Key Skills

Software

V7 Labs

Other

Top Subject Matter

AI and Machine Learning training data quality assurance

AI-assisted software development

Top Data Types

Text

Image

Audio

Top Task Types

Entity (NER) Classification

Bounding Box

Transcription

Prompt + Response Writing (SFT)

Question Answering

Point/Key Point

Freelancer Overview

I am a Magna Cum Laude Bachelor of Science in Information Technology graduate with hands-on experience as an AI Data Annotation Intern at Innodata, where I contributed to the development of AI and Machine Learning models through multimodal data annotation and quality assurance. My work included image annotation, video annotation, speech transcription and transcript editing, website classification, and Rodeo annotation using bounding boxes and keypoints. I also completed specialized annotation tasks such as transforming abstract or stylized characters into human representations based on project guidelines, ensuring high levels of accuracy, consistency, and adherence to detailed annotation standards. Beyond data annotation, I have experience in AI-assisted software development, prompt engineering, UI/UX design, and technical documentation through freelance projects and software development work. I am detail-oriented, adaptable, and quick to learn new annotation tools and workflows. With experience working across diverse AI training tasks, I am committed to delivering high-quality datasets that improve model performance while continuously expanding my knowledge of AI technologies and machine learning applications.

Labeling Experience

AI Data Annotation Intern, Innodata (February 2026 – April 2026)

TextEntity (NER) Classification

Annotated and validated datasets used for Artificial Intelligence and Machine Learning applications. Maintained annotation quality and accuracy while adhering to project standards. Supported quality assurance processes for AI model training data. • Verified dataset entries for correctness and completeness • Followed provided guidelines and consistency rules • Participated in QA checks and validation cycles • Documented issues for resolution during training data preparation

2026 - 2026

Education

Work History