About the role
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Fluid Dynamics and Convection Stability Physicist (PhD)
Type:Contract
Compensation:$80–$110/hour
Location:Remote
Duration:8 to 10 weeks
Commitment:10 hours/week
Role Responsibilities
Evaluate research-level physics problems in your subfield to enhance AI model reasoning.
Design and solve complex problems, ensuring solutions are verifiable by specialists.
Review and audit completed work to maintain high standards of model outputs.
Collaborate asynchronously to meet deadlines and improve AI model performance.
Utilize LaTeX, Python, and Jupyter for problem-solving and documentation.
Qualifications
Must-Have
PhD in fluid mechanics, applied mathematics, mechanical engineering, or a closely related field.
Published work on convection stability specifically.
Verifiable publication record with three to five representative papers.
Working proficiency with LaTeX, Python, and Jupyter.
English at B2 or above, including written reasoning.
Application Process (Takes 20–30 mins to complete)
Apply and complete the attached form with basic information and research experience.
Provide DOIs or arXiv IDs of your own papers as proof of expertise.
We verify your papers and authorship against the public record.
Onboard directly or participate in a 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:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas