Aerodynamics Engineer for AI Training

Apply deep aerodynamics expertise to help train and improve AI systems that can interpret, solve, and explain complex aerospace engineering challenges. This remote contractor role focuses on high-quality technical analysis across external aerodynamics, computational fluid dynamics, wind-tunnel testing, propulsion, and vehicle aerodynamics. No prior AI experience is required.

Key Responsibilities

• Evaluate and solve advanced aerodynamic design and analysis problems involving external aerodynamics, CFD, wind-tunnel testing, propulsion, and vehicle aerodynamics.
• Review AI-generated technical responses for correctness, accuracy, and engineering quality.
• Apply practical engineering judgment to real-world design scenarios and theoretical aerodynamics questions.
• Analyze and troubleshoot problems using boundary-layer theory, potential-flow analysis, compressible-flow relations, and CFD or wind-tunnel data reduction.
• Provide domain input that improves AI reasoning and model performance in aerodynamics.
• Document feedback and communicate clear written and verbal explanations.
• Collaborate remotely with distributed experts and project participants.

Qualifications

• MS or PhD in Aerospace Engineering, or Mechanical Engineering with a thermofluids or aerodynamics specialization, or a BS in Aerospace or Mechanical Engineering plus 8+ years of relevant industry experience.
• At least 5 years of hands-on aerodynamic design or analysis experience in external aerodynamics, CFD, wind-tunnel testing, propulsion, or vehicle aerodynamics.
• Expert knowledge of compressible and incompressible flow, boundary-layer behavior, turbulence modeling, and propulsion-integration aerodynamics.
• Demonstrated ability to evaluate aerodynamic performance using CFD tools, wind-tunnel data reduction, and hand or analytical methods.
• Familiarity with AIAA standards, wind-tunnel test protocols, and CFD verification and validation practices.
• Professional English proficiency with exceptional technical writing and verbal communication skills.
• Strong skills in peer review, technical documentation, critical analysis, collaboration, remote teamwork, workflow optimization, experimental methods, aerospace or mechanical engineering, thermofluids, and CFD.
• Experience with ANSYS Fluent, STAR-CCM+, OpenFOAM, wind-tunnel testing, or flight-test data analysis is a plus.
• Evidence of rigorous problem authoring is strongly preferred, such as service on an olympiad problem committee, authorship credit for textbook problem sets or solutions manuals, or item-writing work for NCEES or academic qualifying examinations.

Work Terms

• Independent contractor engagement performed remotely.

Compensation

• $80 to $130 per hour.