I provide accurate, guideline-compliant data annotation and labeling services to support AI and machine learning training projects. My work covers text, audio, and image annotation — including classification, tagging, transcription-based labeling, and quality validation.
I have hands-on experience with data annotation workflows similar to those used by companies like Scale AI, Appen, Sama, and iMerit, as well as annotation tools such as CVAT (image/video) and Doccano (text). I understand how critical consistency, attention to detail, and strict guideline adherence are for building reliable AI training datasets — a single mislabeled data point can affect model performance downstream.
What sets me apart:
- Background in Electrical and Computer Engineering, giving me strong analytical and technical understanding
- High accuracy and low error rate, with careful review of every task before submission
- Available up to 16 hours a day for fast turnaround, including large-volume projects
- Clear communication and quick response to feedback or guideline updates
- Comfortable with both one-off tasks and long-term, ongoing annotation projects
Whether you need image/video annotation, text classification, or data validation for your ML pipeline, I'm ready to deliver clean, dependable results on time.