
1001 - 5000 employees
Founded 2010
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.
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1001 - 5000 employees
Founded 2010
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.
• Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models • Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision • Distinguish read-aloud from spontaneous speech to support speech data annotation • Write grammar explanations that are linguistically rigorous and genuinely useful to learners • Design vocabulary tasks grounded in real usage patterns, not textbook cliches • Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data
• Bachelor's degree or higher in linguistics, computational linguistics, or NLP (Master's or PhD a plus) • Demonstrated expertise in semantics and morphosyntax, ideally applied to corpus linguistics or NLP annotation work • Experience with language data annotation, corpus tagging, or AI/ML training data projects strongly preferred • Native or near-native English proficiency (CEFR C2)
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