SASH is an independent research and field-building organisation rooted in Singapore, operating at the intersection of East and West. Founded in 2024 as a physical hub in central Singapore, the organisation has grown into a global team spanning the Asia-Pacific region, Europe, and North America. SASH builds AI safety research capacity and policy-relevant governance work, bridging governments, academics, and industry to ensure frontier AI systems benefit everyone. The organisation focuses on bridging stakeholders through convenings, fostering ecosystems by developing talent, and turning research into practice by tackling practical governance problems and shipping proofs of concept.
About SASH
SASH is an independent research and field-building organisation rooted in Singapore, operating at the intersection of East and West. Founded in 2024 as a physical hub in central Singapore, the organisation has grown into a global team spanning the Asia-Pacific region, Europe, and North America. SASH builds AI safety research capacity and policy-relevant governance work, bridging governments, academics, and industry to ensure frontier AI systems benefit everyone. The organisation focuses on bridging stakeholders through convenings, fostering ecosystems by developing talent, and turning research into practice by tackling practical governance problems and shipping proofs of concept.
SASH serves policymakers, researchers, builders, and operators around the world. Its work in AI and machine learning includes practical technical governance research, verification mechanisms for AI safety claims across training, evaluation, and deployment, and frontier safety evaluations checking model safeguards for Loss of Control and Harmful Manipulation. Additionally, SASH develops agent governance solutions to identify, supervise, and constrain autonomous agents, alongside running fellowships, upskilling programs like the Singapore AI Safety Fellowship and the Frontier AI Security Training Policy Lab, and maintaining a central co-working base in Singapore.
The open roles at SASH indicate that the organisation is building technical teams focused on advanced verification and computing challenges. The available positions include Research Engineer and Research Scientist roles specializing in Compute Accounting, Confidential Computing, and Zero-Knowledge Verification. These positions are structured as remote or flexible remote roles, looking for technical experts to join small teams combining technical expertise with international AI policy experience.
Open AI jobs at SASH

Join SASH remotely as a Research Engineer or Scientist. Work on AI datacenter verification and remote compute accounting. Salary $100K–$200K.

Join SASH remotely as a Research Engineer or Scientist. Work on AI datacenter verification and remote compute accounting. Salary $100K–$200K.

Join SASH remotely as a Research Engineer or Scientist. Focus on confidential computing, AI verification, and hardware enclaves. Salary $100K-$200K.

Join SASH remotely as a Research Engineer or Scientist. Focus on confidential computing, AI verification, and hardware enclaves. Salary $100K-$200K.

Join SASH as a Research Scientist in Zero-Knowledge Verification. Remote or flexible role focusing on verifiable AI agreements. Salary $100K–$200K.

Join SASH as a Research Scientist in Zero-Knowledge Verification. Remote or flexible role focusing on verifiable AI agreements. Salary $100K–$200K.