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Fredrick Peter

@fredrickpeter

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Senior data annotator with 3+ years labeling computer vision, NLP, and audio datasets for AI/ML.

Zimbabwe

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What I'm looking for

I’m looking to contribute high-accuracy, guideline-driven dataset annotations for AI/ML teams—using tools like Labelbox, CVAT, and Scale AI—while maintaining strong QA/QC, privacy, and fast, reliable remote collaboration.

I’m a detail-oriented Senior Data Annotator with 3+ years of experience labeling datasets for AI/ML models across computer vision, NLP, and audio. I bring a proven track record of 98%+ accuracy and high throughput.

I work confidently with annotation workflows and production tools including Labelbox, CVAT, SuperAnnotate, Scale AI, and SageMaker Ground Truth. I’m also experienced with Prodigy, Excel, and Google Sheets to keep labeling consistent, trackable, and ready for model use.

My experience includes segmentation, image classification, keypoint annotation, and NER, along with content moderation for driving, e-commerce, and healthcare use cases. I’m careful about guideline adherence, QA/QC checks, and data privacy requirements.

I value clear documentation and reliable remote collaboration, and I’m comfortable handling transcription work (65 WPM) when needed. My focus is always on delivering high-quality labeled data that teams can trust.

Experience

Work history, roles, and key accomplishments

Senior Data Annotator

Scale AI

Labeled datasets for AI/ML models across computer vision, NLP, and audio, maintaining 98%+ accuracy and high throughput. Worked with annotation and QA workflows using tools such as Labelbox, CVAT, and SageMaker Ground Truth.