Engineering PhD
micro1Legit · not rated yetPosted yesterday
Pay: $80–95/hr
- Who can apply
- Countries not stated in the listing
- Hours
- Hours vary · Freelance
- Where
- Remote, work from home
- Job type
- Expert (SME) review
- Openings
- 10 openings
At a glance: A freelance, remote expert (SME) review job with micro1. It pays $80–95/hr, with hours that vary. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 77% of the 204 other science (PhD) jobs on the board that state pay; 23% pay more.
- This job
- $88/hrMiddle of $80–95/hr
- Median on micro1
- $65/hrFrom 362 other paid jobs
- Median in science (PhD)
- $65/hrFrom 204 other paid jobs
Requirements
- Qualifications
- PhD
- Mechanichal Engineering
- Electrical Engineer
- Chemical Engineer
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
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.
Listing history
- First seen on our board
- (today)
- Posted by micro1
- (yesterday)
- Last checked
- Source
- micro1
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