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