Responsibilities
• Design rigorous domain-relevant questions using your machine learning expertise
• Review AI-generated responses for accuracy, logical consistency, and technical soundness across ML concepts such as optimization, generalization, and model behavior
• Provide feedback to help improve AI understanding of machine learning principles
• Work fully remotely with a flexible asynchronous schedule
• Contribute approximately 5 to 20 hours per week when participating in an active project

Requirements
• Doctoral student or graduate, including those currently enrolled in a PhD program or in postdoctoral positions in Machine Learning or closely related fields such as Statistics, Computer Science, or AI
• Strong background in machine learning theory, algorithmic analysis, and applied mathematics, including familiarity with optimization, probabilistic modeling, and statistical inference
• No prior AI evaluation or technical experience required

How to Apply
Click "Apply" to be taken to the Handshake website. Sign up and create an account, verify your identity, then join and onboard into relevant projects. Placement depends on current project needs, with opportunities for future projects as they become available. F1 students eligible for CPT or OPT may be eligible, but should work with their Designated School Official. STEM OPT is not supported.