Want to get hired at Call For Referral?

Physics Scientist Researcher Remote

Call For Referral

HybridHybrid

Original Job Summary

About the Role

The Physics Scientist Researcher Remote role is a contract position for a Physics PhD expert. You will contribute to a frontier AI project developing large language models (LLMs) in scientific reasoning and problem-solving. Your expertise in classical mechanics, electromagnetism, quantum mechanics, thermodynamics, statistical physics, and relativity will be key.

Key Responsibilities

  • Develop and assess graduate-level physics problems across subfields.
  • Evaluate AI-generated responses for conceptual soundness and rigor.
  • Provide structured written feedback to enhance scientific clarity.
  • Collaborate asynchronously with AI researchers and engineers.
  • Ensure academic rigor and consistency in evaluation materials.

Ideal Qualifications

  • PhD in Physics or related discipline.
  • 2+ years of research, teaching, publication, or professional experience.
  • Expertise across multiple areas of physics.
  • Excellent communication skills and attention to detail.

Project Timeline

Start Date: Immediate Duration: 1–2 months (potential extension) Commitment: ~20 hours/week (flexible up to 40 hours/week)

Compensation & Contract

Rate: $70–$85 USD/hour based on experience Contract Type: Independent contractor Payments: Weekly via Stripe Connect

Application & Onboarding Process

  • Upload your resume and application form.
  • Complete a short 15-minute AI interview.
  • Participate in a paid 4-hour work trial.

Key skills/competency

Physics, AI, Research, PhD, ProblemSolving, ClassicalMechanics, QuantumMechanics, Thermodynamics, Communication, Analytical

How to Get Hired at Call For Referral

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant physics and AI research skills.
  • Review company details: Understand Call For Referral culture and projects.
  • Prepare examples: Demonstrate your problem-solving capabilities.
  • Practice interviews: Be ready for a short AI interview process.

📝 Interview Preparation Advice

Technical Preparation

Review advanced physics topics.
Study LLM architecture and training.
Practice problem evaluation techniques.
Familiarize with academic research methods.

Behavioral Questions

Describe teamwork in remote settings.
Explain handling complex challenges.
Discuss feedback on peer work.
Share experience with asynchronous collaboration.