Remote Materials Science Expert for AI Training

Alignerr Corp.

Boston (MA)

Remote

USD 83,000 - 165,000

Part time

32 hours ago
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Benefits offered by this job

Fully remote
Freelance autonomy

Job summary

Alignerr seeks a Materials Science Expert for AI training. This is a fully remote hourly contract with 10–40 hours per week, allowing flexible scheduling.

You will apply advanced materials science knowledge to train AI models and review AI-driven reasoning, collaborating asynchronously with AI researchers and other domain experts. The role requires a Master’s or PhD in Materials Science, strong expertise in semiconductor materials or molecular modeling, and excellent written English.

Qualifications

  • Master's or PhD in Materials Science or related field.
  • Strong expertise in semiconductor materials or molecular modeling.
  • Fluent in English; ability to communicate complex ideas clearly.

Responsibilities

  • Develop and solve advanced materials science problems with real-world scientific relevance.
  • Apply expertise in semiconductor materials or molecular modeling to design complex problem statements.
  • Evaluate AI-generated scientific reasoning and outputs for accuracy, depth, and rigor.
  • Collaborate asynchronously with AI researchers and other domain experts to push the boundaries of AI scientific reasoning.
  • Ensure scientific clarity, precision, and depth across all deliverables.
  • Work independently on task-based assignments — fully on your own schedule.

Skills

Materials science
Semiconductor materials
Molecular modeling
Python
MATLAB

Education

Master's in Materials Science
PhD in Materials Science

Tools

Python
MATLAB

Job description

Alignerr seeks a Materials Science Expert for AI training. This is a fully remote hourly contract with 10–40 hours per week, allowing flexible scheduling.

You will apply advanced materials science knowledge to train AI models and review AI-driven reasoning, collaborating asynchronously with AI researchers and other domain experts. The role requires a Master’s or PhD in Materials Science, strong expertise in semiconductor materials or molecular modeling, and excellent written English.

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