AI Trainer for Computational Physics (Freelance, Remote)

About the Role

Shape the future of AI in Computational Physics!

As an AI Tutor, Computational Physics, you will play a direct role in educating and refining cutting-edge AI models using RLHF (Reinforcement Learning from Human Feedback) techniques. Your deep understanding of computational physics will be essential in guiding these models to develop a comprehensive and accurate grasp of critical subject areas. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in Physics.

Your Day to Day

• Teaching: Craft clear, insightful explanations and examples to guide AI models toward a deep understanding of key computational physics concepts.
• Evaluation: Rigorously assess the performance of AI models by designing and conducting tests that challenge their capabilities in solving computational physics problems.
• Red Teaming: Identify potential biases, limitations, or inaccuracies in the AI models' understanding, proactively addressing them to ensure robust and reliable performance.
• Collaboration: Work closely with our team of AI researchers and engineers, providing your subject matter expertise to improve training methodologies and refine the AI models' capabilities.

About You

• Master's degree or Ph.D. in Computational Physics, or a related field, with a strong foundation in theoretical and practical aspects of the discipline. Exceptional candidates with a Bachelor's degree in Computational Physics.
• Excellent communication skills, with the ability to convey complex scientific information clearly and concisely, both verbally and in writing.
• Strong analytical and problem-solving skills, with a meticulous attention to detail and a passion for scientific accuracy.
• Interest in the application of AI in scientific research and a drive to contribute to the development of cutting-edge technologies.