Aerospace Flight-Dynamics AI Task Engineer

About OpenTrain OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting contractors to create high-quality technical tasks that help evaluate and improve advanced AI systems. This role offers an opportunity to apply professional aerospace judgment to structured AI training work while building experience in a fast-growing technology field. • Remote contractor assignment • Five-week contract • 40 hours per week, including at least four hours of Pacific Time overlap • English-language work About AI Training Work AI training depends on people who can prepare realistic examples, define quality standards, and assess whether technical outputs are correct and complete. In specialized projects, subject-matter experts help shape how AI systems handle complex engineering problems. You will contribute by turning aerospace workflows, simulations, calculations, and acceptance criteria into structured tasks that can be used to evaluate AI-generated technical work. • Apply domain expertise to cutting-edge AI development • Create and assess realistic engineering examples • Work remotely with structured technical evaluation processes The Role As an Aerospace Flight-Dynamics AI Task Engineer, you will author and assess advanced aerospace and flight-dynamics tasks. The work combines engineering problem definition, simulation workflow development, analytical validation, and rigorous review of technical outputs. You will create realistic problem statements and supporting assets, establish objective standards for successful results, and evaluate geometry, route, airframe, and simulation files for technical correctness and completeness. • Build tasks for aerospace and flight-dynamics AI training • Develop realistic simulation workflows and mission scenarios • Translate engineering requirements into structured evaluations • Review technical submissions against defined acceptance criteria What You'll Do You will use aerospace simulation and design tools to create complete, technically grounded task packages. Your work will include defining the assumptions, constraints, operating conditions, metrics, and validation methods needed for reliable evaluation. You will also optimize designs based on simulation results, conduct analytical checks, review peer work, and document the methods, processes, and outcomes behind each task. • Author tasks using OpenVSP, XFLR5, FlightGear with JSBSim, OpenRocket, and QGroundControl • Develop engineering problem statements, simulation models, calculations, schematics, and technical assets • Define inputs, assumptions, constraints, operating conditions, output metrics, and objective acceptance criteria • Build golden geometries and mission plans • Validate simulation results through analytical checks • Evaluate geometry, route, and airframe files for correctness and completeness • Optimize designs using simulation results • Document methodologies, processes, and outcomes Requirements This assignment requires substantial aerospace or flight-dynamics experience and hands-on ability to script engineering or simulation workflows. You should be comfortable defining technically rigorous problems and judging whether simulation outputs satisfy objective requirements. An MSc in Aerospace Engineering, Product Owner experience, and familiarity with process modelling are helpful but are not listed as required. • At least five years of aerospace or flight-dynamics experience • Hands-on scripting experience for engineering or simulation workflows • Proficiency with at least two of OpenVSP, XFLR5, FlightGear with JSBSim, OpenRocket, and QGroundControl • Ability to define engineering problems, assumptions, constraints, and objective acceptance criteria • Strong analytical validation and technical quality assessment skills • Experience with peer review and technical documentation • Ability to communicate assumptions clearly Who Should Apply This opportunity is suited to aerospace and flight-dynamics professionals who enjoy translating engineering knowledge into structured tasks and evaluation frameworks. It is especially relevant for candidates who have worked with simulation tools, mission planning, technical review, or engineering process definition. The assignment is remote and worldwide, with English as the working language. The role data identifies the engagement as a contractor and part-time opportunity, while the assignment description specifies 40 hours per week. • Aerospace or flight-dynamics engineers with strong simulation experience • Technical professionals who can assess complex engineering outputs • Candidates comfortable documenting assumptions and objective standards • Applicants available for the five-week contract and required Pacific Time overlap How the Engagement Works This is a five-week remote contractor assignment. The schedule requires 40 hours per week, including at least four hours of overlap with Pacific Time. Compensation details are not disclosed in the role information. Apply through OpenTrain to be considered for this specialized AI training opportunity. Creating an OpenTrain account is free, and your profile can help you present relevant experience for future AI training work. • Engagement: Contractor • Duration: Five weeks • Schedule: 40 hours per week • Time-zone requirement: At least four hours of Pacific Time overlap • Location: Remote and worldwide • Compensation: Not disclosed