Aerospace Engineering Expert for AI Evaluation

The work

You will create and assess difficult aerospace engineering problems used to train and evaluate AI models. Each problem should reflect realistic constraints and include enough supporting information for another expert to review the analysis.

You will also review work from other contributors. Problems that are ambiguous or cannot be graded reliably should be flagged rather than submitted.

• 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.
• Create objective grading criteria that separate correct answers from plausible but technically wrong answers.
• Review other contributors' problems for technical accuracy and sound methods.
• Flag problems that are ambiguous or cannot be graded reliably.

What it pays and takes

This is flexible, fully remote contractor work designed to fit alongside your current role.

• Pay: $85 to $185 per hour.
• Work arrangement: Remote, flexible, part-time contractor work.
• Location: Open to candidates in 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, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Language: Professional fluency in English.
• Education: A master's degree 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.
• Technical background: Deep expertise in at least one aerospace subdomain and hands-on ownership of engineering work.
• Judgment and communication: Ability to make sound decisions under realistic constraints and explain why an answer is correct.
• Additional background: Publications, patents, or technical leadership experience are valuable. AI or large language model evaluation experience is helpful but not required.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 8 screening questions.

About AI training work

AI training uses human-created examples, evaluations, and feedback to help artificial intelligence systems produce more useful and accurate results. OpenTrain is where people find these projects, build a profile, and apply in minutes, while experienced specialists are needed to judge complex technical work.

Creating an OpenTrain account is free.