Position: Physics Expert (Master’s/PhD)

Type: Contract / Freelance

Compensation: Competitive (hourly)

Location: Remote

Commitment: Flexible (project-based, part-time availability)

Role Responsibilities

• Design and solve challenging Physics problems to evaluate and improve large language model reasoning capabilities.
• Develop clear, high-quality, step-by-step Physics solutions with precise logical reasoning and explanations.
• Analyze AI-generated responses to identify reasoning gaps, inaccuracies, and areas for improvement.
• Collaborate with AI researchers to align Physics problems with evaluation goals, especially in abstraction, symbolic manipulation, and multi-step reasoning.
• Create and curate high-quality Physics training and evaluation datasets spanning undergraduate to PhD-level topics.
• Translate complex Physics concepts into simple, structured explanations suitable for AI model learning.
• Provide detailed annotations and constructive feedback to refine model outputs and training processes.
• Contribute to the development of new Physics-based evaluation benchmarks and assessment frameworks.
• Support continuous improvement by identifying weaknesses in AI understanding and proposing targeted problem sets.

Requirements

• Master’s or PhD degree in Physics, Applied Physics, or a closely related field (or currently pursuing).
• Strong foundation in core Physics subjects such as Classical Mechanics, Electromagnetism, Quantum Mechanics, and Thermodynamics.
• Excellent analytical and problem-solving skills with a structured, logical approach.
• Ability to clearly explain complex Physics concepts using simple language and step-by-step reasoning.
• Strong written communication skills with high attention to detail.
• Proven ability to work independently in a remote, research-driven environment.
• Comfortable collaborating with cross-functional teams using digital communication tools.
• Experience evaluating, annotating, or reviewing technical content preferred.
• Familiarity with AI systems, large language models, or data-driven research preferred.
• Strong curiosity, creativity, and willingness to learn in an AI-first work environment.

Application Process

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