Remote Math & Python AI Training Specialist

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Flexible scheduling

Remote work

Contract engagement

Job summary

OpenTrain AI, Inc. is seeking a Mathematics and Computational AI Training Expert for a remote, part-time engagement. You will solve and validate advanced mathematical tasks for AI training, translate requirements into precise procedures, and implement Python-based workflows with reproducible results.

The role emphasizes numerical experiments, parameter sweeps, visualizations, and rigorous numerical validation, with about 15 hours per week and flexible scheduling.

Qualifications

• MS/PhD in Mathematics or related quantitative field.
• Strong Python experience for numerical computation and automation.
• Experience with reproducible computational research workflows.
• Familiarity with NumPy, SciPy and SageMath or equivalent tools.
• Ability to translate mathematical requirements into precise procedures.

Responsibilities

• Solve and validate advanced mathematical tasks for AI training.
• Translate mathematical requirements into executable procedures.
• Implement workflows with Python and command-line tools.
• Automate calculations, numerical experiments, parameter sweeps and visualizations.
• Test edge cases and verify reproducibility of results.

Skills

Mathematics

Python

Numerical analysis

Reproducible research

Visualization

Automation

Mathematical modeling

Algorithms

Education

MS/PhD in Mathematics

BS in Mathematics

Tools

NumPy

SciPy

SymPy

SageMath

CVXPY

pandas

Matplotlib

Jupyter

Julia

GNU Octave

Job description

OpenTrain AI, Inc. is seeking a Mathematics and Computational AI Training Expert for a remote, part-time engagement. You will solve and validate advanced mathematical tasks for AI training, translate requirements into precise procedures, and implement Python-based workflows with reproducible results.

The role emphasizes numerical experiments, parameter sweeps, visualizations, and rigorous numerical validation, with about 15 hours per week and flexible scheduling.