Radioactive Materials & Health Physics Expert (AI Safety)

AfterQuery; United States; A distancia; USD 124.000 - 207.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

AfterQuery is seeking radioactive materials and health physics experts to help make AI models safer in their domain. You will author and review evaluation tasks that test whether a model can tell a safe request from an unsafe one, and write the expert analysis behind each call: what makes a prompt acceptable, where it crosses a line, and why.

This role is remote, flexible, and task-based, with compensation at $150/hr equivalent and $85 per approved task, for candidates located in the United

Formación

• Master's degree or higher in health physics, radiochemistry, nuclear engineering, or a closely related discipline.

Responsabilidades

• Author and review evaluation tasks that test whether a model can tell a safe request from an unsafe one.
• Write expert analysis behind each call: what makes a prompt acceptable, where it crosses a line, and why.

Conocimientos

Clear explanations

Prompt safety evaluation

Educación

Master's degree or higher in health physics or related

Descripción del empleo

AfterQuery is looking for radioactive materials and health physics experts to help make AI models safer in their domain. You'll author and review evaluation tasks that test whether a model can tell a safe request from an unsafe one, and write the expert analysis behind each call: what makes a prompt acceptable, where it crosses a line, and why.

Requirements

• Master's degree or higher in health physics, radiochemistry, nuclear engineering, or a closely related discipline
• Citizenship of a Five Eyes country (United States, United Kingdom, Canada, Australia, or New Zealand)
• Physically located in one of those countries while doing the work
• Able to explain the technical reasoning behind a safety judgment clearly and precisely
• Pay: $150/hr equivalent, paid at $85 per approved task.
• Remote, flexible, task-based.