Remote AI Trainer - Physical Sciences

Frontier AI Lab; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Remotebridge seeks Computational Physical Scientists with substantive AI-training or model-evaluation experience to advance AI systems. You will design challenging computational tasks for physics- and chemistry-focused models and evaluate their outputs with rigorous criteria.

Responsibilities include creating reproducible environments, reference solutions, and clear rubrics; identifying errors or invalid assumptions in model results.

Qualifications

• Prior paid experience training, evaluating, benchmarking, or improving AI systems on scientific or technical tasks.
• Strong practical proficiency with Python.
• Deep expertise in at least one relevant physical-science specialization.
• Hands-on experience using computational methods for modeling, simulation, numerical analysis, data analysis, or reproducible research.

Responsibilities

• Create realistic computational physical-science tasks that challenge advanced AI models.
• Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
• Evaluate model-generated calculations, code, simulations, models, and technical deliverables.
• Identify invalid assumptions, numerical errors, physically impossible results, incorrect methods, or reproducibility failures.

Skills

Python

Physical science

AI training experience

Tools

PyTorch

NumPy

SciPy

JAX

Astropy

Job description

Remotebridge seeks Computational Physical Scientists with substantive AI-training or model-evaluation experience to advance AI systems. You will design challenging computational tasks for physics- and chemistry-focused models and evaluate their outputs with rigorous criteria.

Responsibilities include creating reproducible environments, reference solutions, and clear rubrics; identifying errors or invalid assumptions in model results.