Remote AI Evaluation & Computational Math Specialist

OpenTrain AI, Inc.; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

OpenTrain AI, Inc. seeks a remote contract contributor to craft advanced computational mathematics tasks for AI training. You will design multi-step problems, assemble datasets, and validate results across Python, R, Julia, and C/C++ in Linux environments.

Responsibilities include building reference solutions, defining grading criteria, and ensuring numerical accuracy, stability, and reproducibility. Strong mathematical background and independent work are essential.

Qualifications

• PhD or postdoctoral experience in mathematics, statistics, or related field.
• Strong programming ability in Python, R, Julia, C/C++, Bash.
• Experience in Linux/terminal environments and numerical computing.
• Ability to design, implement, test, and validate computational algorithms.

Responsibilities

• Create realistic, multi-step computational tasks in self-contained environments.
• Prepare datasets, equations, model definitions, constraints, and outputs.
• Build reference solutions and computational workflows across languages.
• Set grading criteria for numerical accuracy, convergence, and stability.
• Define tolerances, stopping criteria, and reproducibility controls.
• Investigate floating-point issues, conditioning, and solver failures.
• Document formulations, outputs, limitations, and validation methods.

Skills

Python

R

Julia

C/C++

Bash

Linux

Numerical methods

Mathematical reasoning

Education

PhD or postdoc

Tools

NumPy

SciPy

SymPy

pandas

scikit-learn

JAX

PyTorch

CVXPY

Docker

Conda

Job description

OpenTrain AI, Inc. seeks a remote contract contributor to craft advanced computational mathematics tasks for AI training. You will design multi-step problems, assemble datasets, and validate results across Python, R, Julia, and C/C++ in Linux environments.

Responsibilities include building reference solutions, defining grading criteria, and ensuring numerical accuracy, stability, and reproducibility. Strong mathematical background and independent work are essential.