Audits an AI model's statistical and analytical output for rigour, sound assumptions and supported conclusions. Suits data scientists with real modelling experience who can spot confident errors in AI reasoning.
About the role
This is the data science counterpart to Ethos's AI Reviewer track, also at $150/hour and also filled through repeat referrals rather than open posting. Instead of running your own analyses, you're auditing a foundation model's statistical and analytical output for rigor, checking whether the modeling choices, assumptions, and conclusions hold up under real scrutiny. Ethos wants people who've done statistical modeling and analysis work themselves and can spot where an AI's reasoning is sound versus where it's confidently wrong.
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