WFH.teamOpen app$166k-$198k
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Decision details from the source listing
PhD or PhD candidate in electrical, mechanical, chemical, industrial, or aerospace engineering
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What this posting tells you
Fully remote, short-term engineering expert pilot lasting approximately 2–3 weeks. The role involves creating and reviewing realistic technical problems, supplying solutions and reasoning, and defining criteria for correctness. Pay is explicitly listed as $80–$95 per hour; annual salary is not specified. Immediate availability is preferred, with the first task expected within 24–48 hours of onboarding.
Customer success, Data, Design and creative, Operations, Product
Eligible countries are not stated.
Timezone overlap is not stated.
PhD or PhD candidate · Short-term contract
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Customer success hiring on WFH.team
This role's listed pay is above the median among 199 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketEngineering PhD at micro1
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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.