Remote AI Math & Stats Trainer — Contract

Remotebridge; United States; A distancia; USD 83.000 - 165.000; A tiempo parcial

Descripción de la vacante

Frontier AI Lab is seeking an AI Trainer (Mathematics & Statistics) for remote, contractor work. You will design challenging computational tasks and evaluate model-generated outputs, applying rigorous mathematical and statistical methods.

The role emphasizes reproducible environments, reference solutions, and clear evaluation criteria. Ideal candidates have substantial AI-training experience, strong Python skills, and advanced mathematical expertise.

Formación

• Prior paid experience training, evaluating, benchmarking, or improving AI systems on mathematical or technical tasks.
• Strong practical proficiency with Python.
• Deep expertise in at least one relevant mathematical specialization.
• Hands-on experience using computational methods for numerical analysis, optimization, statistics, theorem proving, modeling, or scientific computing.

Responsabilidades

• Create realistic computational mathematics and statistics tasks that challenge advanced AI models.
• Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
• Evaluate model-generated proofs, calculations, code, models, optimizations, and technical deliverables.
• Identify logical errors, invalid assumptions, numerical instability, incorrect statistical methods, or reproducibility failures.

Conocimientos

Python

Mathematics

Statistics

Optimization

Educación

Master's degree

PhD

Herramientas

NumPy

SciPy

SymPy

pandas

Pyomo

OR-Tools

Lean

Coq

Descripción del empleo

Frontier AI Lab is seeking an AI Trainer (Mathematics & Statistics) for remote, contractor work. You will design challenging computational tasks and evaluate model-generated outputs, applying rigorous mathematical and statistical methods.

The role emphasizes reproducible environments, reference solutions, and clear evaluation criteria. Ideal candidates have substantial AI-training experience, strong Python skills, and advanced mathematical expertise.