Engineering PhD

Frontier AI Lab; United States; Remote; USD 110,000 - 131,000; Full time

Job summary

Remotebridge is seeking an Engineering PhD or PhD candidate for a short-term, fully remote pilot project. The role focuses on building engineering problems from real workflows, delivering correct analyses, and defining objective criteria for evaluation.

The ideal candidate has hands-on research experience, can clearly justify why an answer is correct, and may have publications or prior technical contributions. Start is immediate with a fast onboarding process.

Qualifications

• PhD or PhD candidate in engineering.
• Hands-on research or practice experience.
• Ability to explain why an answer is correct clearly.
• Publications or technical contributions are a plus.

Responsibilities

• Design technical problems drawn from real engineering work with realistic constraints.
• Provide the correct solution and walk through the reasoning.
• Define objective criteria for correctness for reproducibility.
• Review problems created by others for technical accuracy.
• Flag ambiguous or ungradable problems instead of submitting them.

Skills

Clear reasoning

Communication

Hands-on research

Education

PhD or PhD candidate

Job description

Role: Engineering PhD

Opportunity Snapshot

• Pay: $80–95/hour
• Duration: Short-term pilot — approximately 2–3 weeks
• Project kickoff: Ideally end of week( November 8th)
• Location: Fully remote

You’ll need: PhD or PhD candidate in electrical, mechanical, chemical, industrial, or aerospace engineering

Your tasks: Build technical problems from real engineering workflows and define what makes an answer correct

This is a short pilot, roughly 2–3 weeks, focused on real engineering workflows: the problems you’d actually encounter in your research or practice, not textbook exercises. You’ll build those problems, provide the correct analysis, and define what separates a right answer from one that only looks right.

What you’ll do

• Design technical problems drawn from real engineering work in your field, with realistic constraints and supporting data.
• Provide the correct solution and walk through the reasoning that gets there.
• Define objective criteria for correctness, so another engineer reviewing the work would reach the same verdict.
• Review problems built by other contributors for technical accuracy and soundness of method.
• Flag problems that turn out to be ambiguous or ungradable rather than submitting them.

What we’re looking for

• PhD, or PhD candidate, in electrical, mechanical, chemical, industrial, or aerospace engineering.
• Degree from a strong research institution is preferred.
• Hands‑on research or practice experience — problems you worked on yourself, not ones you read about.
• Able to explain why an answer is correct clearly enough that another engineer could verify it.
• Publications or a record of technical contribution is a plus.
• AI or LLM evaluation experience is a plus, but not required.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.