Materials Science Expert (AI Safety)

$150/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Sciences

Author and review materials science evaluation tasks that test whether AI models distinguish safe requests from unsafe ones. Provide precise technical reasoning for each classification and revise submissions in response to reviewer feedback.

The work

You will create materials science prompts and scenarios that probe safety boundaries, review tasks written by other experts, and classify requests as safe or unsafe. Each judgment requires a clear domain analysis explaining what makes the request acceptable, what risk-relevant information it seeks, and where it crosses a safety line.

What the platform screens for

The screen focuses on verifiable graduate training, command of a materials science specialty, and the ability to reason consistently about dual-use requests under follow-up. Prior AI evaluation, red teaming, or data annotation experience is preferred. A PhD or professional experience in metallurgy, advanced or energetic materials, nuclear materials, or national laboratory research is also preferred.

Logistics

The work is remote, flexible, and task-based, with no fixed weekly hours stated. Contributors must be citizens of the United States, United Kingdom, Canada, Australia, or New Zealand and must be physically located in one of those countries while working.

Pay band: $150/hr

What they look for

Master's degree or higher in materials science, materials engineering, metallurgy, or a closely related discipline
Materials science safety and dual-use judgment
Clear and precise technical analysis
Evaluation prompt and scenario authoring
Safe and unsafe prompt classification
Revision based on structured reviewer feedback

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This verifies the required degree and tests whether the candidate can establish genuine depth in a specific materials science discipline under follow-up.
A strong answer: Give the degree, institution, field, and a concise account of the research problem, methods, and materials involved. Be ready to explain one technical choice or result beyond the thesis title.
Where people lose it: Candidates lose points by naming a broad field without showing what they personally investigated or which methods they used.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.