
2 - 10 employees
Founded 2025
🤖 Artificial Intelligence
📚 Education
🏛️ Government
Artificial Intelligence • Education • Government
SASH is a Singapore-based organization building a global ecosystem for trustworthy and safe frontier AI. It bridges governments, academics and industry across East and West to advance practical, technical AI governance research (verification mechanisms, frontier safety, agent governance) and to operationalize that research through fellowships, training programs for policymakers and practitioners, events, briefings, and a co-working hub for AI governance and safety practitioners.
🔥 2 minutes ago
Where this job comes from
Posted on SASH's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

2 - 10 employees
Founded 2025
🤖 Artificial Intelligence
📚 Education
🏛️ Government
Artificial Intelligence • Education • Government
SASH is a Singapore-based organization building a global ecosystem for trustworthy and safe frontier AI. It bridges governments, academics and industry across East and West to advance practical, technical AI governance research (verification mechanisms, frontier safety, agent governance) and to operationalize that research through fellowships, training programs for policymakers and practitioners, events, briefings, and a co-working hub for AI governance and safety practitioners.
• Set and evolve Neo’s research agenda, deciding where researchers, engineers, compute, and external collaborations can have the greatest impact • Lead major research projects from problem selection and methodology through analysis and publication • Develop rigorous approaches to studying difficult-to-observe frontier-model behaviours, including evaluation recognition and concealment incentives • Guide and mentor researchers, review experimental designs and results, and maintain a high bar for evidence • Work closely with research engineers to turn ambitious research questions into robust experimental systems • Build collaborations with AI Safety Institutes, frontier labs, academics, and model developers, and represent Neo’s research externally • Help recruit exceptional researchers and shape Neo’s research culture as the organization grows • Identify questions where Neo can make a distinctive contribution and build research to answer them convincingly
• Track record of original research in AI safety, model evaluations, machine learning, or a closely related field • Strong understanding of frontier-model behaviour and evaluation or elicitation methodology • Ability to turn broad problems into concrete research programmes and published results • Excellent technical writing and communication with researchers, engineers, and external partners • Comfort operating in an early-stage environment where important questions are not fully settled • Collaborative working style and willingness to stay hands-on • PhD or equivalent research output (helpful, but not required) • Research on dangerous capabilities, alignment, agentic systems, or model evaluations (helpful, but not required) • Experience leading research projects or building a research function (helpful, but not required) • Familiarity with frontier safety reports, the EU AI Act, or NIST AI RMF (helpful, but not required) • Mandarin reading or writing ability (helpful, but not required) • Remote team members should be comfortable maintaining some working-hour overlap with colleagues across regions
• Competitive benefits and leave policies • Dedicated research budget and compute • Growing network of external collaborators
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