Engineering PhD
Quick facts
- Pay
- $80 - $95/hour
- Type
- Part-time
- Location
- Fully remote
- Background
- PhD
- Skills
- Engineering
- Platform
- Micro1 — 345 open jobs
- Typical pay at Micro1
- $20–200/hour · median $68 (340 jobs on our site)
- Payout
- Deel (twice a month)
- Apply
- Free to apply — never pay to get AI training work
Pay: $80 - $95/hour
Required Skills
PhD
Mechanichal Engineering
Electrical Engineer
Chemical Engineer
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
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.
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.