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Engineering PhD

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on micro1 when you’re readyApply on micro1 →

You apply directly on micro1's site. Applying is free. Posted Nov 3, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

micro1 screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:

Instruction FollowingAttention to DetailLogical Reasoning

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

Apply on micro1 →

The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our free micro1 interview guide.

STEP 2 · APPLY

Apply for this role

You apply on micro1's own site. It’s free, and you can apply even if you skip the practice.

Apply on micro1 →

Who this role suits

Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.

PhDMechanichal EngineeringElectrical EngineerChemical Engineer

Full 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.

How the selection process works

  • Apply and complete the screening questions
  • Complete the AI interview for this role — it’s how your expertise gets in front of the client
  • Profile review
  • Onboarding — our Talent Ops team will get you set up

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.

Last checked open on Nov 4, 2026. Job description provided by micro1.

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If the practice interview or the apply link doesn’t open, or the job looks closed, let us know and we’ll fix it.

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