Physics Expert - AI Trainer

Chromestarchemicals; Comisión de Fomento de Perú; Híbrido; ARS 67.797.000 - 108.475.000; Jornada completa

Descripción de la vacante

Chromestarchemicals seeks experts in physics to design rigorous, deterministic problems for frontier AI training and evaluation. Each problem must have exactly one verifiable answer and be accompanied by a complete solution.

You will design advanced physics challenges, write verified solutions, and document the reasoning clearly to ensure reproducibility and high-quality assessment. The role emphasizes deep physical reasoning and multi-step analysis using Python where relevant.

Formación

• Master’s or PhD in Physics or closely related field.
• Strong Python skills and scientific libraries.
• Experience modeling, simulation, numerical methods, and multi-step problem solving.

Responsabilidades

• Design advanced physics problems for frontier AI training and evaluation.
• Create deterministic problems with exactly one correct answer.
• Write complete, verified solutions and document the reasoning process.
• Develop problems testing deep physical reasoning and multi-step analysis.
• Use Python or tools to build simulations or computational workflows.

Conocimientos

Python

Numerical methods

English writing

Problem design

Physics knowledge

Educación

Master’s or PhD in Physics

Herramientas

numpy

scipy

Descripción del empleo

Project duration: 2 months, with potential extension

About the role

We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.

We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.

What you’ll do

Design advanced physics problems for frontier AI training and evaluation

Create deterministic problems with exactly one correct answer

Write complete, verified solutions and clearly document the reasoning process

Develop problems that test deep physical reasoning and multi-step analysis, not just memorization

Where relevant, use Python or specialized tools to build simulations, models, or computational workflows

Ensure all outputs are technically precise, reproducible, and well-written in English

What we’re looking for

Master’s, or PhD in Physics or a closely related field

Strong research or industry experience involving theoretical, experimental, or computational physics

Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar

Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving

Ability to design original, difficult problems that reflect real physics workflows

Excellent attention to detail and technical writing skills in English

Nice to have

Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems)

Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields

Experience evaluating model reasoning, benchmarking, or designing technical assessments