AI Trainer: Physics (PhD) @ AI Start-Up
Join to apply for the AI Trainer: Physics (PhD) @ AI Start-Up role at Hatch
NOTE: Hatch is supporting Mercor in hiring for this position, but Mercor remains the owner of the role and hiring process.
Mercor is hiring experienced Physics professionals to join an exciting collaboration with a top AI research lab. This role involves contributing to the development and evaluation of advanced AI systems designed to replicate real-world workflows across classical mechanics, electromagnetism, quantum mechanics, thermodynamics, statistical physics, and relativity.
Key Responsibilities
- Create and assess complex problems in physics across various subdomains such as classical mechanics, electromagnetism, quantum mechanics, thermodynamics, statistical physics, and relativity.
- Evaluate AI-generated responses for conceptual accuracy, mathematical rigor, and domain relevance.
- Provide clear written feedback on physics problem sets and solutions.
- Collaborate asynchronously with AI researchers and engineers to iterate and improve model performance.
- Ensure scientific accuracy and academic precision in all physics content used to train or evaluate AI systems.
Ideal Qualifications
- PhD in Physics or a directly related field from a top university.
- 2+ years of academic experience (research, publication, teaching) or professional experience (scientist, engineer or researcher).
- Deep subject‑matter expertise across core areas of physics.
- Exceptional written and verbal communication skills.
- Strong attention to detail and analytical thinking.
Project Timeline
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part‑time, ~20 hours/week (potential to extend to 40 hours/week)
- Schedule: Fully remote and asynchronous – versatile working hours.
Compensation & Contract
- Competitive hourly rate based on experience and geography ($65–$85 USD/hr, but subject to geography).
- Weekly payment via Stripe Connect.
Application & Onboarding Process
- Upload your resume and application form.
- AI interview: A short, 15‑minute conversational session to understand your background, experience, and interest in the role.
- Work trial: A paid, 4‑hour assessment evaluating your ability to interpret project guidelines and deliver physics‑specific output.