Materials Science Expert (AI Safety)

You will help evaluate how AI models respond to safety-critical materials science questions. Your work will focus on finding the boundary between safe and unsafe requests and explaining each decision clearly.

• Write prompts and scenarios that test whether materials science requests are safe or unsafe.
• Review and classify prompts created by other experts.
• Explain why a prompt is acceptable or where it crosses a safety boundary.
• Revise your analyses in response to structured reviewer feedback.

What it pays and takes

• Pay: $85 per approved task.
• Work type: Remote, flexible, task-based contractor work.
• Location: Open to candidates in Australia, Canada, the United Kingdom, New Zealand, or the United States.
• Education: Master's degree or higher in materials science, materials engineering, metallurgy, or a closely related field.
• Communication: Explain the technical reasoning behind safety judgments clearly and precisely.
• Helpful background: Experience with AI evaluation, red teaming, or data annotation.
• Valued expertise: A PhD or professional experience in metallurgy, advanced or energetic materials, nuclear materials, or national laboratory research.
• Language: Fluent English.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that answer questions and make decisions. Experts create examples, review model responses, and explain difficult judgments so models can handle specialized subjects more safely. OpenTrain is where people find AI training and data-labeling projects, build a profile, and apply in minutes.