Content Quality and Evaluation Specialist Graduate (SMO) - 2027 Start
Core
Design and enforce data quality standards for LLM training and evaluation data to ensure model performance and ecosystem governance.
Role type
Graduate Content Quality and Evaluation Specialist
Builds
Multilingual, multimodal data assets for AI training and evaluation pipelines
Domain
Generative AI, Large Language Models, Content Governance
Deliverable
production ML models
Required skills
Data quality standards design, judgment criteria definition, data adjudication, root-cause analysis, cross-functional collaboration, policy interpretation, qualitative content evaluation, structured problem decomposition, Excel proficiency, LLM product familiarity
Preferred skills
Content policy development, operational guideline creation, machine-executable logic familiarity, labeling frameworks knowledge, dataset validation, scenario coverage management
