Aerospace Engineer – AI Model Training | Remote

Aerospace Engineer AI Model Training Work Snapshot

• Job Type: Contract
• Location: Remote
• Compensation: Up to $120 per hour
• Level: Middle to Senior Level

Roles & Responsibilities

• Evaluate AI-generated aerospace engineering content for technical accuracy, completeness, engineering rigor, and reasoning quality
• Review AI-generated solutions involving aerodynamics, propulsion, flight mechanics, orbital mechanics, structural analysis, controls, systems engineering, and mission-critical aerospace decisions
• Challenge advanced AI systems with realistic aerospace engineering prompts involving aircraft systems, spacecraft operations, propulsion analysis, structural mechanics, flight dynamics, and test engineering workflows
• Analyze AI-generated calculations, assumptions, simulations, and technical recommendations for correctness, feasibility, and engineering consistency
• Identify technical inaccuracies, unsafe assumptions, missing constraints, weak reasoning, unit inconsistencies, and flawed engineering logic in aerospace-related outputs
• Review and refine AI-generated prompts, worked examples, technical explanations, calculations, and engineering analyses to ensure alignment with aerospace engineering standards and first-principles reasoning
• Evaluate whether AI responses properly account for safety margins, tolerances, boundary conditions, validation methods, operational constraints, and engineering tradeoffs
• Interpret and assess aerospace-related engineering drawings, simulation outputs, test data, performance models, and system-level analyses generated or referenced by AI systems
• Compare and rank multiple AI-generated engineering responses based on technical correctness, clarity, completeness, reasoning quality, and usefulness to professional aerospace engineers
• Provide structured technical feedback documenting reasoning gaps, unsupported assumptions, unclear communication, incomplete analyses, and misleading engineering conclusions
• Support benchmarking initiatives by designing, reviewing, validating, and scoring aerospace engineering tasks across varying levels of complexity and specialization
• Help improve AI communication standards for aerospace topics by ensuring outputs demonstrate precision, engineering judgment, appropriate caveats, and professional technical language
• Contribute to AI model improvement through annotation workflows, aerospace evaluations, technical QA reviews, response ranking, and structured engineering documentation processes

Requirements

• Education: Bachelor s degree in Aerospace Engineering, Aeronautical Engineering, Mechanical Engineering, Astronautical Engineering, or a closely related engineering field required; Master s degree or PhD preferred for highly specialized projects
• Minimum 4+ years of professional experience as an Aerospace Engineer or in related aerospace, aeronautical, astronautical, propulsion, structures, systems, or flight sciences roles
• Strong hands-on experience with aerospace design, simulation, testing, verification, certification, systems integration, or mission-critical engineering decision-making
• Deep understanding of aerospace engineering fundamentals including aerodynamics, propulsion, flight mechanics, orbital mechanics, structural mechanics, materials, controls, and systems engineering
• Strong knowledge of engineering tradeoffs, safety margins, model validation, performance constraints, technical risk assessment, tolerancing, and operational limitations
• Demonstrated ability to interpret technical requirements, engineering drawings, simulation outputs, test data, flight performance analyses, and system-level engineering models
• Experience preparing or reviewing technical reports, engineering analyses, validation documentation, design reviews, certification materials, or aerospace-related engineering communications
• Excellent analytical thinking and attention to detail when evaluating engineering assumptions, calculations, physical plausibility, and technical consistency
• Strong written communication skills with the ability to explain complex aerospace engineering concepts clearly and concisely for technical audiences
• Ability to evaluate AI-generated engineering content for technical correctness, practical applicability, reasoning quality, and engineering safety considerations
• Previous experience with AI data training, engineering annotation, technical QA, or evaluation of AI-generated technical

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