Conduct safety evaluations for AI models, monitor results, drive mitigations, and build scalable processes in collaboration with policy, engineering, and stakeholders. Requires trust & safety experience, process-building skills, and comfort in ambiguity.
230k – 270k/yr
HybridOther
About the role
Responsibilities
Support model launch readiness by running evaluations, monitoring results, and surfacing issues to stakeholders
Partner with policy and domain experts on evaluation lifecycle: risk identification, scoping, creation, and maintenance
Manage evaluation outcomes with stakeholders, interpret results, and drive mitigations
Strategically improve eval quality, processes, and paradigms as models advance
Build processes for product-specific evaluations as products expand
Design tooling improvements for evolving eval needs and self-serve capabilities
Write and maintain documentation for evaluation creation, execution, and interpretation
You may be a good fit if you:
Have experience in trust & safety, content operations, policy enforcement, or related operational roles at tech companies
Thrive in ambiguous, fast-moving environments
Have built processes or programs from scratch (zero-to-one work)
Possess strong program management skills for complex, multi-stakeholder efforts
Are eager to adopt technical tools and AI-assisted workflows
Manage multiple workstreams with strong prioritization and context-switching
Are a strong generalist comfortable with varied work
Make judgment calls with incomplete info and escalate appropriately
Communicate clearly and concisely
Strong candidates may also have:
Experience with high-stakes timelines like launches or incident response
Coordinating across engineering, policy, and product teams
Building/maintaining SOPs, runbooks, and documentation
Proficiency with data tools (SQL, dashboards, spreadsheets)
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