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Ether Ox
@etherox
Full stack Dev
Estados Unidos
Inglés
Sobre mí
I design and build professional AI training platforms, data annotation marketplaces, and AI labeling systems that help businesses create high-quality datasets for machine learning.
Combining full-stack development with UI/UX design, I develop efficient platforms for data collection, labeling, task management, and quality control.
Whether you're launching a data labeling startup or AI training system, I turn your idea into a functional, scalable product
Habilidades
Ether Ox
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Desarrollo de bots de trading
I will meme coin bot, pump fun bot, moonshot, telegram trading bot, base, tron, solana
Etiquetado y anotación de datos
I will build ai data annotation platform for your machine learning, ai data marketplace
Porfolio
Experiencia laboral
Fiverr
Freelance • 0 mos
AI Annotation Marketplace Developer & Designer
Dec 2025 - Dec 2025 • 0 mos
Building AI annotation marketplace that connect dataset owners with skilled annotators for high-quality training data creation. I design and develop platforms where clients can upload data, create annotation tasks, manage workflows, and track progress in real time. My work includes building task assignment systems, quality control pipelines, reviewer layers, and secure payment integrations. I focus on creating scalable, user-friendly marketplaces tailored for image, video, and text annotation, supporting AI training across computer vision and NLP projects.
AI Training Data Marketplace Developer
Oct 2025 - Oct 2025 • 0 mos
I design and develop AI data labeling marketplace and annotation platform for businesses building machine learning products. My work focuses on creating scalable platforms where clients can upload datasets, manage labeling workflows, and connect with annotators. I build user-friendly dashboards, task distribution systems, quality control pipelines, and payment integrations. I also handle UI/UX design, backend architecture, and automation to ensure efficient data annotation processes for computer vision, NLP, and AI training pipelines.
