AI Data Quality Control Coordinator (Ciudadela)
AI Data Quality Control Coordinator (Ciudadela)
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Ciudadela, Argentina
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Publicado: hace menos de un mes
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Descripción
About Welo Data
Welo Data, a WeloGlobal brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Itsglobal network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud‑prevention framework. Built to maintain data integrity and workforce trust across a general contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded.
Role Overview The Quality Control Coordinator for AI Data Annotation is responsible for supporting quality assurance processes to ensure annotated datasets meet defined guidelines and client standards. This role focuses on sampling, defect tracking, training coordination, documentation management, and audit readiness.
The position plays a critical role in maintaining high-quality datasets used for training and evaluating machine learning models, working closely Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pepg5
Welo Data, a WeloGlobal brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Itsglobal network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud‑prevention framework. Built to maintain data integrity and workforce trust across a general contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded.
Role Overview The Quality Control Coordinator for AI Data Annotation is responsible for supporting quality assurance processes to ensure annotated datasets meet defined guidelines and client standards. This role focuses on sampling, defect tracking, training coordination, documentation management, and audit readiness.
The position plays a critical role in maintaining high-quality datasets used for training and evaluating machine learning models, working closely Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pepg5
Información clave
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Nombre de la empresaWelo Global
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Nombre de la vacanteAI Data Quality Control Coordinator (Ciudadela)
Consejos de seguridad
Desconfía de las ofertas de trabajo que establecen explícitamente “sin necesidad de experiencia”.
Más info sobre el aviso
El aviso AI Data Quality Control Coordinator (Ciudadela) fue publicado en la categoría Ciudadela Fabricación, oficios de Locanto.
Ahora mismo, no tenemos más avisos en esta categoría en Ciudadela.
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