Aerospace Engineering Expert for AI Evaluation

OpenTrain AI, Inc.; United Arab Emirates; Remote; AED 430,000 - 936,000; Part time

Benefits offered by this job

Remote work

Job summary

OpenTrain AI, Inc. is seeking an Aerospace Engineering Expert to create and review difficult problems used to evaluate AI models. This remote, part-time role pays $85–$185 per hour and requires advanced aerospace knowledge and sound engineering judgment.

You will work with a distributed team, design problems across aero domains, provide verifiable analyses, and help set fair grading criteria. Fluency in English and relevant advanced degrees are required.

Qualifications

• Advanced aerospace engineering knowledge and the ability to design and review challenging problems.
• Experience evaluating AI models with rigorous reasoning and clear explanations.
• Strong publication or leadership credentials are a plus.

Responsibilities

• Design challenging problems in aerodynamics, propulsion, structures and materials, guidance, navigation and control, orbital mechanics, systems engineering, avionics, or flight software.
• Provide a correct analysis and explain the reasoning clearly enough for another expert to verify.
• Set objective grading criteria that separate correct answers from plausible but technically wrong answers.
• Review problems from other contributors for technical accuracy and sound methods.
• Flag problems that are ambiguous or cannot be graded reliably instead of submitting unreliable work.

Skills

Advanced aerospace

Technical judgment

AI evaluation

Education

Master's degree in aerospace or mechanical engineering

PhD in aerospace engineering or closely related field

Job description

Aerospace Engineering Expert for AI Evaluation

Create and review difficult aerospace engineering problems used to evaluate AI models, with pay of $85 to $185 per hour. This flexible remote role requires advanced aerospace expertise and clear technical judgment.

Remote Hourly · $85–$185/hr

$85–$185/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 31, 2026

Posted

Open in 51 countries

United States + more

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United States
• Uzbekistan
• Vietnam

The Work

You will create and assess difficult technical problems for AI training and model evaluation. Your work will test whether an AI system can apply aerospace engineering knowledge accurately under realistic constraints.

• Design challenging problems in aerodynamics, propulsion, structures and materials, guidance, navigation and control, orbital mechanics, systems engineering, avionics, or flight software.
• Provide a correct analysis and explain the reasoning clearly enough for another expert to verify.
• Set objective grading criteria that separate correct answers from plausible but technically wrong answers.
• Review problems from other contributors for technical accuracy and sound methods.
• Flag problems that are ambiguous or cannot be graded reliably instead of submitting unreliable work.

What It Pays and Takes

This is flexible, fully remote contractor work designed to fit alongside your current role. The position is marked entry level, while the role requirements call for advanced technical experience and education.

• Pay: $85 to $185 per hour.
• Work arrangement: Flexible, fully remote contractor work.
• Language: Professional fluency in English.
• Education: A master's or PhD in aerospace engineering, mechanical engineering, or a closely related field.
• Experience: Principal-, staff-, or fellow-level experience at a major aerospace organization, or a faculty appointment at a leading university.
• Expertise: Deep knowledge in at least one aerospace area, hands‑on ownership of engineering work, strong judgment under realistic constraints, and the ability to explain why an answer is correct.
• Helpful additions: Publications, patents, technical leadership, or experience with AI or large language model evaluation.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, the Palestinian Territories, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, Uzbekistan, Vietnam, South Africa, or the United States.

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