Principal Engineer / Professor — Technical Expert

Micro1; India; Remote; INR 10,348,000 - 23,930,000; Full time

Job summary

Cashback24x7 seeks a Principal Engineer/Professor — Technical Expert for a fully remote contractor role. You’ll design and solve high‑complexity technical problems, spanning aerospace, semiconductors, manufacturing and materials science.

Deep domain expertise and the ability to articulate reasoning for verification by peers are essential. The position offers flexible commitment and the chance to contribute alongside your current role, with no travel required and remote collaboration across time

Qualifications

• Master’s or PhD in engineering, physics, materials, or related field.
• Principal, staff, or fellow-level experience at a major engineering organization, a national lab, or a faculty appointment at a leading university.

Responsibilities

• Create and define challenging technical problems in your domain to measure AI capabilities.
• Operate across aerospace, semiconductors, manufacturing/industrial engineering, and materials science areas.
• Design problems with realistic constraints and data.
• Provide correct solutions with step-by-step reasoning.
• Set objective criteria for correctness for consistent review.
• Review problems created by others for technical accuracy and methodological soundness.
• Flag problematic items that are ambiguous or ungradable.

Education

Master’s degree in engineering/physical science

PhD in a related field

Job description

Job Description

Role Title: Principal Engineer / Professor — Technical Expert

Role Type: Contractor

Location: Remote

Opportunity Snapshot

Pay: $80- $185/hour

Commitment: Flexible — fits alongside your current role

Location: Fully remote

You’ll need: Master’s or PhD in an engineering or physical science field, plus principal-level industry experience or a faculty appointment

Your tasks

• Build challenging technical problems from your own domain and define what makes an answer correct micro1 is engaging principal-level engineers, scientists, and faculty to design the technical problems that measure what AI systems can actually do. Your domain expertise is what matters here — no prior AI experience required.
• We’re building this across four areas: aerospace, semiconductors, manufacturing and industrial engineering, and materials science. If your work sits in one of those — or across two of them — this is for you.
• The work draws on what you already know: the problems where the textbook answer isn’t enough, where the right approach depends on reading the constraints correctly, where a plausible-looking solution is quietly wrong.
• Design difficult technical problems from your own area, 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 expert 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

• Master’s or PhD in engineering, physics, materials, or a closely related field.
• Principal, staff, or fellow-level experience at a major engineering organization, a national lab, or a faculty appointment at a leading university.
• Deep technical depth in at least one area, with hands-on ownership of the work.
• Able to explain why an answer is correct clearly enough that another expert could verify it.
• Publications, patents, or a record of technical leadership is a strong plus.

How the selection process works

• Complete the AI interview for this role
• Profile review
• Onboarding — our Talent Ops team will get you set up