Data Scientist, Integrity Measurement
About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
What this role actually needs.
About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Responsibilities: - Own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals. - Develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets. - Build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable. - Own dashboards and metrics reporting for harm verticals. - Conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps. - Optimise LLM prompts for the purpose of measurement. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Data Scientist, Integrity Measurement role.
- Own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals.
- Develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets.
- Build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable.
- Own dashboards and metrics reporting for harm verticals.
- Conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps.
- Optimise LLM prompts for the purpose of measurement.
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Source: jobs.ashbyhq.com · Source ID: be4e1098-f7ac-46f4-babe-44ef08f47fcb · Confidence: 97/100 · Last checked: May 7, 2026
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