Remote Material Scientist for AI Reasoning & Modeling

Alignerr Corp.; United States; Remote; MXN 258,000 - 1,031,000; Part time

Job summary

Alignerr is seeking a Semiconductor Material Science Expert to contribute to AI training by applying deep knowledge of semiconductor materials and molecular modeling. This remote hourly contract role fits around your schedule, with 10–40 hours per week and asynchronous collaboration with AI researchers.

You will develop and review advanced material science problems, design nuanced problem statements, and evaluate AI-generated outputs for rigor and clarity, helping AI reason more like a domain

Qualifications

• Master's or PhD in Material Science, Materials Engineering, or a closely related field.
• Strong expertise in semiconductor materials or molecular modeling.
• Proficient in Python or MATLAB for research applications.
• Excellent written communication and ability to explain complex concepts clearly.
• Self-directed and comfortable working asynchronously.

Responsibilities

• Develop, solve, and critically review advanced material science problems with real-world relevance
• Apply expertise in semiconductor materials, molecular modeling, or related areas to design complex, nuanced problem statements
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
• Evaluate the scientific rigor, accuracy, and clarity of AI-generated outputs in your area of expertise
• Ensure depth and precision across all deliverables — your standards set the bar

Skills

Semiconductor materials

Molecular modeling

English fluency

Education

Master's or PhD in Material Science/Materials Engineering

Tools

Python

MATLAB

Job description

Alignerr is seeking a Semiconductor Material Science Expert to contribute to AI training by applying deep knowledge of semiconductor materials and molecular modeling. This remote hourly contract role fits around your schedule, with 10–40 hours per week and asynchronous collaboration with AI researchers.

You will develop and review advanced material science problems, design nuanced problem statements, and evaluate AI-generated outputs for rigor and clarity, helping AI reason more like a domain