AI Reinforcement Training Intern (TikTok Platform Responsibility) - 2027 Start
Core
Building and optimizing machine learning models and operational processes for TikTok's Trust & Safety systems to identify harmful content and mitigate risks.
Role type
Intern, AI Reinforcement Training
Builds
Automated safety models and high-quality data pipelines for risk detection
Domain
Social media, Content safety, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Data quality standards formulation, Data output assessment, Edge case analysis, Root cause analysis, Cross-functional collaboration, Structured decomposition
Preferred skills
Experience in data quality or content moderation, Familiarity with large-model products (ChatGPT, Claude, Gemini, Doubao)
Technologies
Excel, Large Language Models (LLMs)
Responsibilities
Formulate and iterate data quality standards and judgement rules for large-model training; Review and assess data outputs against quality standards; Participate in assessment of complex and ambiguous edge cases; Track quality performance and drive process improvements; Collaborate with production, product, and algorithm teams to align quality standards.
Seniority
Intern
