We are seeking accomplished physicists and engineers to contribute to a cutting-edge AI research program in collaboration with a leading artificial intelligence lab. As a Scientific Content Evaluator â Physics, you will play a vital role in ensuring the scientific precision, conceptual accuracy, and analytical depth of AI-generated content across diverse areas of physics and applied engineering.
This position is ideal for PhD scholars, postdoctoral researchers, or advanced masterâs graduates eager to apply their scientific acumen in a frontier field at the intersection of AI and physical sciences.
Key Focus Areas
We are particularly interested in expertise across the following disciplines:
Core Physics: Classical Mechanics, Electromagnetism, Thermodynamics, Quantum Mechanics, Relativity
Applied & Computational Physics: Computational Modeling, Materials Science, Optics, Acoustics
Engineering Applications: Electrical, Mechanical, and Aerospace Engineering; Control Systems; Applied Mathematics
Interdisciplinary Domains: Data-driven Physics, AI for Physical Systems, Energy Systems, Instrumentation
Key Responsibilities
Evaluate the scientific validity and logical soundness of AI-generated physics and engineering content.
Analyze mathematical derivations, simulation methods, and experimental reasoning for correctness and depth.
Identify and annotate factual inaccuracies, methodological flaws, and conceptual gaps.
Provide structured, domain-specific feedback to improve AI model accuracy and reasoning.
Collaborate asynchronously with a global team of researchers using specialized evaluation tools.
Contribute to developing evaluation frameworks that benchmark AI capabilities in advanced scientific reasoning.
Qualifications
PhD (or currently pursuing) or Masterâs degree in Physics, Applied Physics, Mechanical/Electrical Engineering, or a closely related field.
Strong command of graduate-level physics, applied mathematics, and problem-solving methodologies.
Excellent analytical writing, documentation, and communication skills.
Self-driven, detail-oriented, and comfortable working independently in a remote research environment.
Engagement Details
Type: Part-time contract (approx. 20 hours/week)
Location: Fully remote
Schedule: Flexible and asynchronous
Compensation
Hourly Rate: USD $20â$30/hour (based on expertise and experience)
Contract Type: Independent contractor
Payments: Processed weekly via Stripe Connect
Key Skills
Physics Research | Mathematical Modeling | Technical Evaluation | Data Annotation | Scientific Analysis | AI Content Assessment
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