Aerodynamics Expert
Job Description
Role Title: Aerodynamics Expert
Role Type: Contractor
Location: Remote
micro1 is engaging Aerodynamics Experts to contribute specialized insights and deliverables to a critical customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Analyze and interpret complex aerodynamic challenges, offering detailed technical feedback and nuanced explanations relevant to aerospace and mechanical engineering contexts.
Develop, review, and distill advanced technical documentation related to aerodynamics, computational fluid dynamics (CFD), and thermofluids, ensuring clarity and precision for diverse audiences.
Contribute to the refinement of educational and technical materials to enhance the learning and reasoning capabilities of AI models.
Participate in rigorous peer review processes, providing critical analysis, constructive feedback, and quality assurance on technical content and workflows.
Collaborate remotely with other subject matter experts, aligning on technical standards, workflow optimization, and best practices in knowledge distillation.
Engage in discussions and presentations that translate complex experimental and theoretical results into actionable knowledge and training data for AI development.
Preferred Qualifications
PhD in aerospace or mechanical engineering with a specialization in thermofluids or aerodynamics, or BS in AE/ME plus at least 8 years in aerospecific roles.
Deep expertise in aerodynamics, CFD, and related computational and experimental methods within the aerospace or mechanical engineering sectors.
Proven track record of technical writing for technical reports, articles, or documentation, with strong skills in distilling complex concepts.
Exceptional verbal communication abilities, including articulating nuanced technical concepts to interdisciplinary audiences.
Demonstrated success in peer review, technical evaluation, or consultancy roles involving critical analysis and workflow optimization.
Experience collaborating effectively in remote or distributed expert networks.
Interest in contributing to the development and training of advanced AI systems by leveraging engineering domain knowledge.
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.