Principal Engineer / Professor — Technical Expert - Remote

YO AI Labs - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Principal-Engineer, Tech-Expert, Engineering-Professor, AI-Evaluation-Specialist, Domain-Expert
Tech
remote-countrysoftwareprincipal
Source
himalayas
First observed
2026-11-07 00:58 UTC
Last seen
2026-11-07 00:58 UTC
Source claims posted
2026-11-07 00:57 UTC
Consecutive misses
1 of 10

What the posting says

Principal Engineer / Professor — Technical Expert

Role Type: Contractor

Location: Remote

Commitment: Flexible

Job Description

We are seeking principal-level engineers, scientists, and faculty members to develop challenging technical problems that evaluate AI system capabilities.

This opportunity is designed for experts in aerospace, semiconductors, manufacturing and industrial engineering, and materials science. Your domain expertise is what matters most; no prior AI experience is required.

Key Responsibilities

Design challenging technical problems within your area of expertise, using realistic constraints and supporting data.

Provide accurate solutions with clear, step-by-step reasoning.

Define objective evaluation criteria to ensure consistent assessment of technical answers.

Review problems developed by other contributors for technical accuracy and sound methodology.

Identify and flag ambiguous or ungradable problems.

Required Qualifications

Master's or PhD in Engineering, Physics, Materials Science, or a closely related field.

Principal-, Staff-, or Fellow-level experience at a major engineering organization or national laboratory, or a faculty appointment at a leading university.

Deep technical expertise in at least one relevant domain, with hands-on ownership of the work.

Ability to explain technical solutions clearly enough for another expert to independently verify.

Strong analytical and technical communication skills.

Preferred Qualifications

Publications, patents, or a proven record of technical leadership.

Expertise across multiple areas, including aerospace, semiconductors, manufacturing, or materials science.

Selection Process

Application and screening questions.

AI interview.

Profile review.

Onboarding with the Talent Operations team.

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1788482 2026-11-07 00:58 UTC
    Published
  2. o
    #1790835 2026-11-07 02:58 UTC
    Not seen
    Miss 1 in a row