[Hiring] Statistical Physics PhD - Researcher - AI Trainer @Mercor

Role Description

• Evaluate research-level physics problems in your subfield to enhance AI model reasoning.
• Design and solve complex physics challenges, ensuring solutions are verifiable by peers.
• Review completed work and provide structured feedback to improve AI model outputs.
• Collaborate with AI research teams to align on problem-solving methodologies.
• Work independently and asynchronously to meet deadlines with flexible hours.

Qualifications

• PhD in statistical physics, mathematical physics or a closely related field.
• Published work on specific phenomena listed in the research areas.
• Verifiable publication record with three to five representative papers.
• Proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above, including written reasoning.

Requirements

• Contract position.
• Compensation: $80–$110/hour.
• Location: Remote.
• Duration: 8 to 10 weeks.
• Commitment: 10 hours/week.

Application Process

• Apply and complete the attached form with your information and research experience.
• We verify your papers and authorship against the public record.
• Onboard directly or participate in a short live alignment call.
• A brief 30 to 45 minute assessment may be added if needed.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.