Content Quality and Evaluation Specialist Graduate (Korean) - SMO - 2027 Start
Core
Design and adjudicate data quality standards for LLM training and evaluation to ensure data trustworthiness for global content platforms.
Role type
Content Quality and Evaluation Specialist (Graduate)
Builds
High-quality multilingual, multimodal data assets for AI model training and ecosystem governance
Domain
Generative AI, Large Language Models, Content Moderation
Deliverable
production ML models
Required skills
Data quality standards design, data adjudication, edge case analysis, quality metrics tracking, cross-functional collaboration, logical thinking, policy interpretation, Excel proficiency, LLM product familiarity
Preferred skills
Content policy development, machine-executable logic familiarity, dataset validation knowledge, multi-priority management
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