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Milzy David

Milzy David

Data Collection & Annotation Specialist (Freelance)

Nigeria flagAsaba, Nigeria
IntermediateCVATLabel Studio

Key Skills

Software

CVATCVAT
Label StudioLabel Studio

Top Subject Matter

Household manipulation tasks
AI training

Top Data Types

VideoVideo
ImageImage

Top Task Types

Data CollectionData Collection

Freelancer Overview

Data Collection & Annotation Specialist (Freelance). Core strengths include CVAT and Label Studio. AI-training focus includes data types such as Video and labeling workflows including Data Collection.

IntermediateEnglish

Labeling Experience

CVAT

Data Collection & Annotation Specialist (Freelance)

CVATVideoData Collection
As a freelance Data Collection & Annotation Specialist, I captured point-of-view videos of manipulation-intensive household tasks strictly following AI training dataset requirements. My responsibilities included quality control, structured annotation review, and batch-processing large volumes while maintaining high accuracy. I corrected structured classification outputs and flagged systematic errors to support label guideline evolution. • Recorded and uploaded task-specific, high-quality video datasets using a head-mounted setup. • Performed detailed annotation review and applied corrections using CVAT and Label Studio. • Processed and verified 200–500 items per session, ensuring adherence to task variance and accuracy targets. • Communicated error types and dataset structure insights to support ongoing model improvement.

As a freelance Data Collection & Annotation Specialist, I captured point-of-view videos of manipulation-intensive household tasks strictly following AI training dataset requirements. My responsibilities included quality control, structured annotation review, and batch-processing large volumes while maintaining high accuracy. I corrected structured classification outputs and flagged systematic errors to support label guideline evolution. • Recorded and uploaded task-specific, high-quality video datasets using a head-mounted setup. • Performed detailed annotation review and applied corrections using CVAT and Label Studio. • Processed and verified 200–500 items per session, ensuring adherence to task variance and accuracy targets. • Communicated error types and dataset structure insights to support ongoing model improvement.

2025 - Present

Education

N

Nnamdi Azikiwe University

B.Mls, Medical Laboratory Science

B.Mls
2015 - 2020

Work History

No Work History added yet

Milzy D. hasn’t added any Work History to their OpenTrain profile yet.