Aerospace Engineer Expert, AI Evaluation (English)

OpenTrain AI, Inc.; United States; Remote; USD 138,000 - 179,000; Part time

Job summary

OpenTrain AI, Inc. seeks a remote aerospace engineering contractor to develop and assess technical scenarios, reference answers, and reviews that test AI model judgment. The role requires aerospace expertise, strong written communication, and the ability to document engineering decisions.

Work is fully remote with a minimum commitment of 10 hours per week and payment between $100 and $130 per hour. A degree in aerospace engineering or related field is required.

Qualifications

• A degree in aerospace engineering or closely related field.
• Depth in at least one area such as aerodynamics, structures, propulsion, or guidance, navigation, and control.
• Clear written English and ability to document engineering decisions.
• Experience with flight test or wind tunnel programs; familiarity with FAA/EASA standards.

Responsibilities

• Create aerospace scenarios covering requirements through design review.
• Create reference answers explaining engineering reasoning.
• Rate model outputs for technical accuracy and standards compliance.
• Identify designs that would fail in flight.

Skills

Written English

Aerospace domain expertise

Education

Bachelor's degree in aerospace engineering or closely related field

Tools

NASTRAN

ANSYS

CFD codes

Job description

Create aerospace engineering scenarios, reference answers, and technical reviews that test AI model judgment. Remote contractor work pays $100 to $130 per hour, with a 10-hour weekly minimum.

Remote Hourly · $100-$130/hr

$100-$130/hr

Compensation

Contract

Engagement

Remote

Location

Posted

Open in 95 countries

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d'Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

Create and assess expert aerospace engineering material used to evaluate AI model judgment. Your work turns engineering reasoning into realistic scenarios, reference answers, and reviews of model outputs.

• Write aerospace scenarios that cover work from requirements through design review.
• Create reference answers that explain the engineering reasoning behind decisions.
• Rate model outputs for technical accuracy and compliance with applicable standards.
• Spot designs that seem credible but would fail in flight.

What it pays and takes

• Pay: $100 to $130 per hour, paid weekly via Stripe.
• Schedule: Ongoing work with a minimum commitment of 10 hours per week and no maximum. There are no fixed hours, and the workload can change from week to week.
• Location: Fully remote and open to candidates in supported countries.
• Education: A degree in aerospace engineering or a closely related field.
• Specialty: Depth in at least one area such as aerodynamics, structures, propulsion, or guidance, navigation, and control.
• Communication: Clear written English and the ability to document engineering decisions.
• Helpful experience: Flight test or wind tunnel programs, tools such as NASTRAN, ANSYS, or computational fluid dynamics codes, or airworthiness and certification work involving FAA or EASA standards.

About AI training work

AI training work uses examples and human reviews to help build and evaluate AI systems. Aerospace expertise helps distinguish sound engineering judgment from answers that only appear technically plausible.

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