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Materials Scientist for AI Model Training [Remote]

$80 - $100 per hour

SaidGig

Indiana
  • Remote job
Role Overview

Apply advanced materials science knowledge to review, annotate, and evaluate technical content that will be used to train next generation AI systems. This remote, contract role focuses on ensuring scientific accuracy, creating domain scenarios and case studies, and translating complex materials concepts for both expert and non-expert audiences. No prior AI experience is required.

Key Responsibilities
  • Review and assess technical materials datasets, scientific literature, and documentation for accuracy and clarity.
  • Annotate technical datasets and provide structured feedback to improve data quality.
  • Formulate clear, comprehensive explanations of advanced materials science concepts for expert and non-expert audiences.
  • Evaluate and critique AI-generated content related to materials engineering, metallurgy, and related disciplines.
  • Develop and validate domain-specific scenarios, problem sets, and case studies for AI training purposes.
  • Collaborate with interdisciplinary project teams to define and refine data requirements and quality benchmarks.
  • Perform quality assurance on scientific deliverables to ensure they meet established standards and project specifications.
Qualifications
  • MS or PhD in Materials Science and Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a closely related field with a materials focus preferred.
  • Demonstrated expertise in materials science, including materials characterization, processing, selection, or testing across applications.
  • Experience reviewing technical literature and interpreting experimental and scientific data.
  • Strong written and verbal communication skills, with the ability to explain complex concepts clearly and precisely.
  • Experience with annotating technical datasets and developing scenario or case study content is preferred.
  • Familiarity with remote collaboration tools for technical review.
  • Publication record or contributions to scholarly work in materials science is a plus.
  • Strong analytical skills and a commitment to producing high quality, accurate work products.
Work Terms
  • Engagement type, contractor.
  • Fully remote role.
  • No prior experience in AI required, domain expertise is the primary qualification.
  • Deliverables must meet defined scientific and project standards, and collaboration with project teams is expected.
Compensation

Pay rate: 80 to 100 USD per hour.

Eligibility

This engagement is for independent contractors working remotely. Any specific work authorization or location restrictions are not specified in the source materials; please ensure you meet local legal requirements to work as a contractor where you reside.

Vacancy posted 17 hours ago
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