Remote Computational Statistics & AI Problem Designer

Mercor; San Francisco (CA); Hybrid; GBP 72,000 - 92,000; Part time

Job summary

Mercor seeks a Computational Statistics and Applied Mathematics Expert to design challenging problems for AI systems, using Python and Matlab/Scilab in a remote, part-time role. You will craft statistically rigorous tasks and collaborate with AI research teams to validate solutions, working 15–20 hours per week.

The ideal candidate has graduate-level training in statistics or applied mathematics and strong Python skills, with experience in specialized software packages.

Qualifications

• Graduate-level training in statistics, applied mathematics, or a related STEM field.
• Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
• Strong Python skills.

Responsibilities

• Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
• Develop problems using statistical, mathematical, or scientific software packages.
• Test and refine problems against AI models to achieve target difficulty.
• Collaborate with AI research teams to improve problem setups and validators.
• Work independently in a Linux/terminal environment with remote compute sandboxes.

Skills

Python

Statistics

Applied Mathematics

Education

Graduate degree in statistics or applied mathematics

Tools

Matlab/Scilab

Job description

Mercor seeks a Computational Statistics and Applied Mathematics Expert to design challenging problems for AI systems, using Python and Matlab/Scilab in a remote, part-time role. You will craft statistically rigorous tasks and collaborate with AI research teams to validate solutions, working 15–20 hours per week.

The ideal candidate has graduate-level training in statistics or applied mathematics and strong Python skills, with experience in specialized software packages.