Remote Materials Science AI Review & Method Validator

AI Trainer Jobs; United States; Remote; USD 141,000 - 190,000; Full time

Job summary

AuraOne seeks a Data-heavy chemistry/materials Science Expert to remotely review AI outputs in materials science reasoning, calculations, and research workflows. Reviewers validate derivations, reproduce results, and document correct methods to train the modeling team.

Experience with grading outputs, applying rubrics, and ensuring reproducibility is essential. This contractor role requires independence and the ability to commit time weekly for review tasks.

Qualifications

• Graduate-level training or equivalent in materials science or related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Clear written reasoning citing methods, papers, or worked examples.

Responsibilities

• Review AI outputs against materials science methods and prior work.
• Reproduce or sanity-check key derivations, calculations, or claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture corrected reasoning or worked examples for training.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Materials science

Education

PhD

Postdoc

Industry research experience

Job description

AuraOne seeks a Data-heavy chemistry/materials Science Expert to remotely review AI outputs in materials science reasoning, calculations, and research workflows. Reviewers validate derivations, reproduce results, and document correct methods to train the modeling team.

Experience with grading outputs, applying rubrics, and ensuring reproducibility is essential. This contractor role requires independence and the ability to commit time weekly for review tasks.