Bayesian Statistics Expert - Problem Designer
$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: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
- Develop problems requiring the use of specialized scientific software for simulations and experiment design.
- Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
- Collaborate on creating tasks that require strategic thinking and efficient information extraction.
- Work independently to enhance problem designs based on feedback and model performance.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM field ( MS, PhD , or equivalent research experience).
- Proven proficiency with at least one scientific software library ( PyMC , FEniCS , etc.).
- Strong Python skills for writing problem setups and solution validators.
- Ability to work independently and refine problem designs.
- Comfortable in a Linux/terminal environment with remote compute sandboxes.
- Available for at least 15–20 hours/week .
Preferred
- Experience across multiple domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific teaching 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 us.fitly.work
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted a month ago
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