qubitsok.com
Cut Noise. Work Quantum.
Remote
•
Posted 121 days ago
🏢 Mercor
•
USD 70 - 85 per hour
Role Type
Role Focus
Seniority
Employer Type
This part-time independent contractor role involves collaborating with a top AI research lab to enhance AI systems that replicate real-world physics workflows. The position requires creating and evaluating complex problems across core physics domains, including quantum mechanics, relativity, and classical mechanics. The contractor will assess AI-generated solutions for accuracy and provide detailed written feedback to improve the model's performance and scientific precision.
Key Responsibilities
Create and evaluate complex physics problems across major subdomains like quantum mechanics and relativity.
Assess AI-generated responses to ensure conceptual accuracy and mathematical rigor.
Provide precise, written feedback on physics problem sets and solutions to guide model refinement.
Collaborate with AI researchers and engineers to improve model performance asynchronously.
Maintain high scientific accuracy in all physics content used for training and evaluating AI systems.
Required Skills
PhD in Physics or a directly related field from a top university
2+ years of academic or professional experience in physics research, publication, teaching, or as a scientist/engineer
Deep subject-matter expertise across core areas of physics
Exceptional written and verbal communication skills
Strong attention to detail and analytical thinking
Technology Tags
The role requires deep subject-matter expertise across core areas of physics, confirming foundational knowledge is crucial.
The job explicitly requires expertise in evaluating complex problems related to quantum mechanics.
The job requires deep subject-matter expertise across core areas of physics, validating the need for physical foundations.
Evaluating solutions for mathematical rigor across complex physics domains is a core responsibility.
Expertise is explicitly required in statistical physics, which heavily relies on statistics and probability concepts.
The core purpose of the collaboration is to iterate and improve AI model performance based on physics content evaluation.
Differential equations are foundational for solving complex problems in classical mechanics and electromagnetism, domains explicitly listed.