Aerodynamics Engineer for AI Model Training

Apply deep aerodynamics and CFD expertise to create, review, and distill technical content and evaluations used to train next-generation AI systems. This contractor role produces high-fidelity domain input, peer reviews, and technical documentation that shape how models learn, reason, and perform.

• Analyze and interpret complex aerodynamic problems, providing detailed technical feedback and nuanced explanations relevant to aerospace and mechanical engineering.
• Develop, review, and distill advanced technical documentation on aerodynamics, computational fluid dynamics, and thermofluids, ensuring clarity and precision for varied audiences.
• Contribute to educational and technical materials designed to enhance the learning and reasoning capabilities of AI models.
• Participate in rigorous peer review processes, offering critical analysis, constructive feedback, and quality assurance on technical content and workflows.
• Collaborate remotely with other subject matter experts to align on technical standards, workflow optimization, and best practices for knowledge distillation.
• Translate complex experimental and theoretical results into actionable knowledge and labeled training data for AI development, including presentations and technical discussions.

• Required skills: aerodynamics, computational fluid dynamics (CFD), technical writing, verbal communication, peer review, aerospace engineering, mechanical engineering, thermofluids, experimental methods, technical documentation, knowledge distillation, collaboration, remote teamwork, workflow optimization, critical analysis.
• Preferred education and experience: PhD in aerospace or mechanical engineering with a specialization in thermofluids or aerodynamics, or a BS in aerospace or mechanical engineering plus at least 8 years in aerospecific roles.
• Proven track record producing technical reports, articles, or documentation that distill complex concepts.
• Demonstrated success in peer review, technical evaluation, or consultancy roles involving critical analysis and workflow improvement.
• Experience collaborating effectively in remote or distributed expert networks.
• No prior experience in AI is required; strong domain knowledge and interest in contributing to AI training are sufficient.

• Role type: Contractor.
• Location: Remote.
• Work is output-oriented and performed remotely in collaboration with distributed subject matter experts.
• Experts must submit a minimum of tasks per week.

• Listed rate: $80 to $130 per hour.
• Compensation structure: output-based, paid per task that meets project specifications.
• Time to complete tasks may vary by expert experience and workflow. Minimum submission requirements apply.

• Typical fill timeline: roles are often filled within 48 hours; candidates should be ready to begin quickly.
• If selected, you will be expected to start your first tasks within 24 to 48 hours after completing onboarding.
• Minimum submission requirements and task details will be provided during onboarding.