AI Model Reinforcement Graduate (Platform Responsibility) - 2027 Start
Core
Formulating data quality standards, assessing data outputs, and defining judgment rules for large-model training and evaluation to support TikTok's Trust & Safety systems.
Role type
Graduate AI model evaluation specialist (Trust & Safety)
Builds
High-quality training and evaluation data for generative AI and large language models
Domain
Generative AI / Trust & Safety
Deliverable
production ML models
Required skills
Data quality assessment, judgment rule formulation, root cause analysis, structured decomposition, abstraction, synthesis, data processing
Preferred skills
Knowledge of foundation models (ChatGPT, Claude, Gemini), content moderation experience, background in law/philosophy/economics/journalism
Technologies
Excel, data-processing tools
Responsibilities
Formulate and iterate data quality standards and acceptance criteria; Review and assess data outputs against standards; Analyze edge cases to create reusable judgment rules; Track quality performance and drive process improvements; Collaborate with production and algorithm teams to align quality standards
