Welo Global
1001 - 5000 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.
AI Data Quality Specialist, English
Job not on LinkedIn
🕒 July 27
🇵🇭 Philippines – Remote
💵 $4 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
👻 Ghost score 7%
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Welo Global
1001 - 5000 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.
📋 Description
• Review and label content for sentiment, factual accuracy, and reasoning issues. • Evaluate model outputs across quality dimensions using scoring frameworks. • Validate automated assessments and identify discrepancies or errors.
🎯 Requirements
• Advanced English proficiency (reading and writing) with professional-level fluency. • Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications. • Previous experience in data annotation, AI training, or related projects. • Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains. • Exceptional attention to detail and accuracy. • Proven analytical reasoning and critical thinking abilities. • Consistency in decision-making across high volumes of tasks. • Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).
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