Jobs › Post-Doctoral Fellow, AI-Enabled Scams as a Systemic Security Challenge
Post-Doctoral Fellow, AI-Enabled Scams as a Systemic Security Challenge
Role at a glance
- Category
- AI Governance
- Work arrangement
- Remote
- Location
- Remote
- Posted
- Jun 20, 2026
Data & Society Research Institute is hiring a Post-Doctoral Fellow, AI-Enabled Scams as a Systemic Security Challenge in Remote. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Data & Society Research Institute.
<p><strong>Organizational Summary</strong></p> <p>Data & Society is an independent nonprofit research organization studying the social implications of data-centric technologies and automation. We recognize that the same innovative technologies that may benefit society can also be abused to invade privacy, provide new tools of discrimination, foreclose opportunity, and harm individuals and communities. Through original research and inclusive engagement, we work to ensure that empirical evidence and respect for human dignity guide how technology is developed and governed.</p> <p><strong>About The Role</strong></p> <p>Data & Society is seeking a post-doctoral research fellow<strong> </strong> for our AI-Enabled Scams as a Systemic Security Challenge project, housed under our AI & Democracy initiative and led by Director of Research Dr. Alice Marwick. This body of work examines how artificial intelligence is reshaping democratic practice, knowledge production, security, and trust.</p> <p>This position will report to the Director of Research, Alice Marwick, and will not have people manager responsibilities. <strong>This position is fully remote and will begin in September 2026 with an end date of May 31, 2028. </strong></p> <p>Overall, the AI Scams project looks at how artificial intelligence is supercharging scams, frauds, and hoaxes. We have published a primer and a policy report examining the scope and scale of AI-enabled scams and policy responses. This specific project examines young people’s (Gen A/Z) susceptibility to scams, and how trust, legitimacy, and risk are constructed in online interactions. We are particularly interested in youth financial cultures, such as cryptocurrency, multi-level marketing schemes, sports betting, influencers, prediction markets, retail arbitrage, memestocks, drop-shipping, “hustle and grind” culture, etc. and how it changes youth understanding of financial opportunity and risk. </p> <p>The post-doctoral fellow will be working on a qualitative research project with two components. First, alongside the PI, they will be conducting interviews and focus groups with a) individuals who have encountered or been harmed by AI-enabled scams and b) youth involved in risky financial subcultures; and second, qualitative discourse and/or content analysis of scam materials,
Full responsibilities and requirements are on Data & Society Research Institute's application page.
Apply for this role →Location and market context
This is a remote AI governance role, so it draws from a national talent pool rather than a single metro. Remote governance and compliance roles reward candidates who can show they work effectively across time zones and distributed legal, security, and product teams. Confirm any residency, travel, or occasional-onsite expectations directly with Data & Society Research Institute.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Data & Society Research Institute would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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