AI Trust & Safety Policy Manager
Develops ethical guidelines and safety protocols to ensure AI systems remain secure and unbiased.
Overview
This career involves a constant cycle of identifying emerging risks in machine learning models and codifying those risks into actionable product policies. The day-to-day rhythm involves analyzing model outputs for harmful content, collaborating with data scientists on safety benchmarks, and consulting with legal experts on global regulatory compliance. It is a intellectually demanding field that requires translating abstract ethical concepts into technical requirements.
Successful professionals in this space thrive on complexity and the ability to navigate ambiguous, high-stakes scenarios. The work feels deeply investigative, often requiring the team to anticipate how malicious actors might exploit generative AI or how training data might lead to systemic discrimination. It is a role suited for those who enjoy bridge-building between the fast-paced world of software development and the rigorous standards of policy and ethics.
Responsibilities
- Draft and implement comprehensive safety policies for generative AI and machine learning outputs.
- Monitor global regulatory developments to ensure platform compliance with emerging AI laws.
- Conduct risk assessments on new features to identify potential vectors for misinformation or abuse.
- Design and oversee red-teaming exercises to stress-test model guardrails and safety filters.