Mercor AI Safety Fund Grants
Core
Funding independent research proposals to address AI safety challenges such as misalignment, sandbox escape, evaluation awareness, interpretability, oversight, and red-teaming.
Role type
AI Safety Research Grant Program
Builds
Safety research outputs including papers, open datasets, public methodologies, and tools for the field.
Domain
Artificial Intelligence Safety / Machine Learning
Deliverable
research
Required skills
ML, CS, statistics, measurement, psychometrics, HCI, security, social science
Preferred skills
agentic evaluation, RL environments, adversarial ML, systems security
Responsibilities
Review and fund proposals from independent researchers, academics, and small teams to conduct safety research.
Seniority
Programmatic / Grant Administration
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