PhD Engineer (Electrical, Mechanical, Chemical)
Micro1 • Remote
Education
Any
Type
hourly
Pay Rate (by country)
$80–$90/hr
Actively Hiring
25 openings
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About this Role
From the Micro1 listing
Role Title: PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Deliver authoritative written responses to complex engineering prompts in your area of expertise
- Review and interpret scientific literature to provide contextually accurate and current insights
- Design and document realistic experimental scenarios based on advanced engineering principles
- Analyze data and interpret results to inform AI training datasets with precision
- Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
- Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
- Collaborate with project coordinators to refine prompt response quality as needed
Preferred Qualifications
- PhD in Electrical, Mechanical, or Chemical Engineering
- Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
- Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
- Strong literature review capabilities and familiarity with synthesizing scientific knowledge
- Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
- Proven ability to produce "golden response" level deliverables with accuracy and completeness
- Detail-oriented mindset and commitment to high-quality, impactful contributions
Requirements
- Calculus
- Data Analysis & Interpretation
- Literature Review
- Experimental Design
- Research Methodology
- Must be eligible to work in Remote
Key Responsibilities
- Deliver authoritative written responses to complex engineering prompts in your area of expertise
- Review and interpret scientific literature to provide contextually accurate and current insights
- Design and document realistic experimental scenarios based on advanced engineering principles
- Analyze data and interpret results to inform AI training datasets with precision
Why This Role
Monetize your niche expertise without the billable hours. At $85/hr, this role offers elite compensation for pure intellectual work, no client management or administrative bloat.
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Frequently Asked Questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
Is academic-niche AI training just data labeling?
No, it's closer to academic research. Expect to write or verify complex proofs, solve advanced equations, or check the logic behind a model's step-by-step reasoning. The goal is teaching AI systems to reason deeply within your specific field.
Do I need a PhD for academic-niche AI training roles?
For the top pay tiers, a PhD or current enrollment is usually expected. But the domain assessment is what actually decides it: if you can solve the problems, the degree becomes secondary.
Is academic-niche AI training a continuous job?
Usually not. Work runs in campaigns, like training a model specifically on quantum mechanics, that might last a few weeks. Treat it as a high-paying fellowship or grant rather than a permanent daily job.
What does STEM work look like for a PhD Engineer (Electrical, Mechanical, Chemical)?
Tasks here are scoped to STEM, not generic labeling. As a PhD Engineer (Electrical, Mechanical, Chemical), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 25 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.