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sql python trust & safety content moderation llmπ Description
- Own automated enforcement quality for AI-driven systems.
- Translate policy into models; craft prompts and datasets.
- Guide model evolution; monitor performance and concept drift.
- Surface blind spots in niche communities and edge cases.
- Safeguard model integrity; flag risks and escalate incidents.
π― Requirements
- 5-7+ years in Trust & Safety with scalable enforcement.
- AI-literate; understand LLM-based systems in production.
- Familiar with AI safety concepts: evaluation design, data quality.
- Experience with SQL and/or Python; use data to investigate issues.
- Ability to bridge technical discussions with Policy, Legal, Product.
- Experience with content moderation and real-time incident response.
π Benefits
- Comprehensive healthcare and income replacement.
- 401k with employer match.
- Global benefits for work, dev, and caregiving support.
- Family planning support.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
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