Bayesian Statistics Expert - PhD - AI Trainer
$70 - $100 per hourMercor
Job Description
Job Description
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: STEM Computational Scientific Software & Evaluation Design - Computational Bayesian Statistics and Applied Mathematics
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Design graduate-level computational problems using domain-specific scientific software libraries such as PyMC , PyStan , FEniCS , and GUDHI .
- Develop problems that require strategic reasoning, including designing sequences of queries or experiments to uncover hidden information.
- Calibrate tasks against state-of-the-art AI models and refine problem designs to achieve target difficulty levels.
- Collaborate independently and asynchronously to iterate on problem designs based on calibration feedback.
- Utilize strong Python programming skills to write problem setups, oracle functions, and solution validators.
- Work comfortably in a Linux/terminal environment with remote compute sandboxes.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM domain ( MS, PhD, or equivalent research experience ).
- Proficiency with at least one scientific software library such as PyMC , FEniCS , or GUDHI .
- Strong Python programming skills.
- Ability to work independently and iterate on problem designs.
- Comfortable in a Linux/terminal environment .
Preferred
- Experience across multiple listed domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific pedagogy or exam/problem-set design.
- Experience with computational reproducibility and containerized environments.
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:
- For any help or support, reach out to: View email address on ziprecruiter.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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