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.
- Analyze complex problems in physics, chemistry, mathematics, or biology to enhance AI model training and evaluation.
- Apply structured reasoning and quantitative methods to improve model outputs and problem-solving capabilities.
- Collaborate with interdisciplinary teams to address open-ended challenges and ensure comprehensive solutions.
- Communicate solutions clearly and concisely to support AI research teams and elevate training data quality.
- Work independently and asynchronously to deliver high-quality outputs with flexible hours.
Qualifications
Must-Have
- Bachelor's, Master's,
or PhD in a STEM field (or currently pursuing one).
- 1+ year of relevant experience (academic, research, internships, or industry).
- Robust foundation in physics, chemistry, mathematics, or biology.
- Demonstrated strength in problem-solving and analytical thinking.
- Ability to work independently and deliver high-quality outputs.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
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:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.