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Posted 4 hours ago
AI Safety & Policy Specialist
LG AI ResearchAI Safety & Policy Specialist
Requirements
3-5 years experience in AI safety or policy, Deep understanding of AI technology and industry trends, Experience in technical report writing, Knowledge of AI ethics and global regulations
Skills
AIAI GovernanceRed Teaming
About the role
Responsibilities
- Establish and operate safety policies for models and services, and strengthen safety verification through red-teaming
- Operate and expand AI Agent safety governance frameworks
- Manage and improve risk management systems for frontier and high-impact AI
- Analyze global AI governance trends and prepare policy/risk reports and external presentation materials
- Build partnerships and manage external cooperation with domestic and international professional organizations
Requirements
- 3 to 5 years of professional experience in AI safety, ethics, or AI policy
- Ability to communicate with domestic and international stakeholders based on a deep understanding of AI technology and industry trends
- Experience in drafting technical policy/risk reports and external communication materials
- Understanding of technology, law, and systems related to AI safety, ethics, and global AI regulation
- High understanding of AI and digital technologies with analytical skills from a safety/risk perspective
- Ability to identify AI risks at the model/agent level and structure them into governance frameworks
Preferred Qualifications
- Practical experience in AI red-teaming or AI safety evaluation/governance
- Experience with tool-use or multi-step reasoning-based AI Agent systems
- Experience establishing AI ethics and Responsible AI policies
- Experience analyzing global AI regulation/reliability trends and cooperating with international organizations
- Proficiency in English
About the Company
Trust & Safety (T&S) is the organization responsible for the AI reliability and safety of LG AI Research. We establish safety policies for our AI, including EXAONE, and proactively manage AI risks that extend to the Agent stage, while handling IP and open-source compliance in the AI development process.
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LG AI Research · Seoul
