Waymond Birdsong

Key Skills

Software

Data Annotation Tech

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Computer Code Programming

Image

Text

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Classification

Computer Programming Coding

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Freelancer Overview

I am an experienced data annotation and AI training specialist with a strong background in image, video, and multimodal data labeling. Over the past several years, I have worked on a variety of projects using platforms like Labelbox and Alignerr, where I annotated and reviewed large-scale datasets for computer vision tasks, performed frame-by-frame video analysis, and ensured strict compliance with detailed project guidelines. My work includes evaluating AI model outputs for accuracy, bias, and consistency, as well as conducting thorough quality assurance checks. I am highly detail-oriented, reliable, and comfortable working independently in remote, deadline-driven environments. My experience in financial data analysis and structured review processes further strengthens my ability to deliver high-quality, accurate data for AI model improvement.

Labeling Experience

AI Trainer / Data Annotator (Image, Video & Multimodal)

LabelboxImageClassification

As an AI Trainer and Data Annotator, I annotated, labeled, and categorized diverse image, video, audio, and text datasets following strict project guidelines. My work included reviewing AI outputs for visual accuracy, ensuring consistent and precise labeling across high-volume tasks, and conducting QA checks with asynchronous collaboration. I maintained guideline compliance and project delivery standards in a remote, deadline-driven setting. • Annotated and labeled images and videos frame by frame for object and action identification. • Evaluated AI model outputs for misclassification, bias, and accuracy. • Ensured annotation consistency through quality assurance reviews. • Used digital annotation platforms including Labelbox and Alignerr for efficient task completion.

As an AI Trainer and Data Annotator, I annotated, labeled, and categorized diverse image, video, audio, and text datasets following strict project guidelines. My work included reviewing AI outputs for visual accuracy, ensuring consistent and precise labeling across high-volume tasks, and conducting QA checks with asynchronous collaboration. I maintained guideline compliance and project delivery standards in a remote, deadline-driven setting. • Annotated and labeled images and videos frame by frame for object and action identification. • Evaluated AI model outputs for misclassification, bias, and accuracy. • Ensured annotation consistency through quality assurance reviews. • Used digital annotation platforms including Labelbox and Alignerr for efficient task completion.

2021 - 2023

Education

Work History