Remote Semiconductor Materials Scientist for AI Training

Alignerr Corp.; City of Melbourne; On-site; AUD 99,000 - 177,000; Part time

Job summary

Alignerr is seeking a Semiconductor Material Science Expert to help train and evaluate AI models on advanced scientific problems. Masters or PhD in material science or closely related fields are preferred, with expertise in semiconductor materials or molecular modeling and Python or MATLAB proficiency.

The role offers remote work and flexible, task-based engagements for experts in the field. You will review complex material science challenges, collaborate with AI researchers, and ensure rigor

Qualifications

• Master's or PhD in Material Science or related field.
• Deep expertise in semiconductor materials or molecular modeling.
• Proficient in Python or MATLAB for research.
• Detail-oriented with rigorous scientific approach.
• Excellent written communication in English.

Responsibilities

• Develop, solve, and critically review advanced material science problems with real-world relevance.
• Apply expertise in semiconductor materials or molecular modeling to design complex problem statements.
• Collaborate asynchronously with AI researchers and domain experts to strengthen AI model reasoning.
• Evaluate AI-generated scientific content for accuracy, depth, and methodological soundness.
• Ensure scientific rigor, clarity, and precision across all deliverables.
• Complete task-based assignments independently on your own schedule.

Skills

Semiconductor materials expertise

Molecular modeling

Python/MATLAB

Scientific communication

English fluency

Education

Master's or PhD in Material Science

Tools

Python

MATLAB

Job description

Alignerr is seeking a Semiconductor Material Science Expert to help train and evaluate AI models on advanced scientific problems. Masters or PhD in material science or closely related fields are preferred, with expertise in semiconductor materials or molecular modeling and Python or MATLAB proficiency.

The role offers remote work and flexible, task-based engagements for experts in the field. You will review complex material science challenges, collaborate with AI researchers, and ensure rigor