Computational Fluid Dynamics Engineer - AI Trainer

📋 Description

• • Are you a seasoned Computational Fluid Dynamics (CFD) Engineer or a skilled Computational Scientist with a deep understanding of scientific visualization and high-performance computing (HPC) workflows? Handshake Technologies, Inc. is seeking talented individuals like you to contribute to a groundbreaking AI research initiative. This is a unique opportunity to leverage your specialized expertise in a flexible, project-based contract role, working remotely from anywhere in the USA.
• • This role is not a traditional full-time employment position but rather an ongoing, hourly contract engagement. It's designed for professionals who want to apply their existing skills to help train and refine artificial intelligence models. Your primary contribution will involve evaluating AI-generated content related to computational science tasks and HPC workflows, providing critical feedback that guides the AI's learning process. This is an ideal way to supplement your current work or to engage in meaningful projects on your own schedule.
• • As an AI Trainer, you will draw upon your hands-on experience with tools like ParaView, a powerful open-source platform for scientific visualization and data analysis. Your responsibilities will include creating insightful questions for the AI and meticulously reviewing its responses. This review process focuses on accuracy, relevance, and scientific consistency, ensuring that the AI develops a robust understanding of real-world CFD simulations, post-processing techniques, and complex data pipelines.
• • The ideal candidate possesses a strong background in scientific visualization, fluid dynamics simulation, or the analysis of large datasets. Experience with ParaView is paramount, as it will be your primary tool for interacting with and evaluating the AI's output. You will be instrumental in bridging the gap between complex scientific concepts and the developing capabilities of artificial intelligence, making your domain expertise invaluable.
• • Your day-to-day activities will involve a deep dive into the intricacies of CFD post-processing, understanding the nuances of fluid flow visualization, and appreciating the challenges of managing and analyzing massive simulation outputs. You will be asked to assess the AI's ability to comprehend and generate content pertaining to these areas, ensuring that the AI's knowledge base is grounded in practical, scientific reality.
• • This role requires a keen eye for detail and the ability to articulate feedback clearly and concisely. You will be working with written guidelines and will need to apply them consistently to your evaluations. While no prior AI development or machine learning experience is necessary, a strong analytical mindset and a commitment to accuracy are essential. Your feedback will directly influence the development of AI tools that aim to assist scientists and engineers in their research and development efforts.
• • The flexibility of this role is a significant advantage. As an independent contractor, you set your own hours, with no minimum commitment required. Projects are available year-round, and placement depends on current needs, offering continuous opportunities to engage with new challenges and contribute to cutting-edge AI research. This asynchronous work model allows you to integrate this contract work seamlessly into your existing professional life.
• • Handshake AI is dedicated to fostering a diverse and inclusive environment. We welcome applications from individuals with varied backgrounds and experiences within the computational science domain. Your unique perspective will be crucial in training AI to be more versatile and effective across a broader range of applications.
• • By participating in this program, you will not only contribute to the advancement of AI in scientific fields but also gain exposure to the evolving landscape of AI training and data annotation. This experience can be highly beneficial for your professional development, offering insights into how AI is being integrated into scientific research and engineering practices. You will be at the forefront of a transformative technological shift, applying your specialized knowledge to shape the future of AI in computational science.