Remote Materials Science Expert for AI Training

Alignerr Corp.

Melbourne

Remote

AUD 83,000 - 165,000

Part time

3 days ago
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Job summary

Alignerr Corp. is seeking Materials Science experts (Masters and PhDs) to train AI models that understand advanced scientific concepts. This is a fully remote, hourly contract role with flexible hours (10–40 hours per week).

No prior AI experience needed—just rigorous science and precise communication. The candidate will work with leading AI research teams to develop, review, and improve AI reasoning in materials science, focusing on semiconductor materials and molecular modeling.

Qualifications

  • Master's or PhD in Materials Science or closely related field.
  • Strong expertise in semiconductor materials, molecular modeling, or adjacent disciplines.
  • Comfortable coding in Python or MATLAB for research or technical problem-solving.

Responsibilities

  • Develop, solve, and critically review advanced material science problems with real-world scientific relevance.
  • Apply expertise in semiconductor materials, molecular modeling, or related domains to design complex, nuanced problem statements.
  • Collaborate asynchronously with AI researchers and domain experts to strengthen AI model reasoning in materials science.
  • Evaluate AI-generated scientific content for accuracy, rigor, and depth.
  • Ensure every deliverable meets a high standard of scientific clarity and precision.

Skills

Materials science
Semiconductor materials
Molecular modeling
Python
MATLAB
Technical writing
English communication

Education

Masters in Materials Science
PhD in Materials Science

Tools

Python
MATLAB

Job description

Alignerr Corp. is seeking Materials Science experts (Masters and PhDs) to train AI models that understand advanced scientific concepts. This is a fully remote, hourly contract role with flexible hours (10–40 hours per week).

No prior AI experience needed—just rigorous science and precise communication. The candidate will work with leading AI research teams to develop, review, and improve AI reasoning in materials science, focusing on semiconductor materials and molecular modeling.

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