Materials Scientist for AI Training and Evaluation Job at SaidGig, United States

  • SaidGig
  • United States

Job Description

Role Overview

Apply hands-on materials science judgment to help evaluate and improve advanced AI systems. Your expertise will inform the standards used to assess materials-focused reasoning, including decisions grounded in real processing, characterization, and performance constraints.

This is an ongoing talent-pool listing, not a currently guaranteed project assignment. Projects may begin on short notice, and qualified experts are contacted when a suitable opportunity becomes available.

Key Responsibilities

  • Create materials science problems based on work you have performed, including the material system, processing history, target property, and a reference answer for evaluating model responses.
  • Assess AI-generated structure-property reasoning, including whether microstructure supports the stated property, characterization evidence supports the conclusion, and proposed processing conditions are realistic.
  • Identify cases where a proposed material may satisfy specifications in theory but fail in service because of fatigue, corrosion, thermal cycling, or manufacturing limitations.

Qualifications

  • Graduate degree in materials science or a related field, with research or industry experience.
  • Recent hands-on experience processing and characterizing materials, with the ability to clearly explain the technical decisions you made.
  • Strong written communication skills for documenting and explaining technical reasoning.
  • Comfort working through ambiguous assignments and identifying unclear instructions.

Work Terms

  • Remote, hourly engagement.
  • Opportunities are project-specific. If selected for a project, the project listing will identify the rate, expected hours, and client.
  • This listing itself does not issue acceptances or rejections. Contact may occur within a week or after several months, depending on available projects and fit.

Compensation

Past project rates have ranged from $60 to $120 per hour, based on project scope and depth.

Eligibility

Completing the domain-expert interview and joining all networks for which you qualify can improve matching prospects. A single registration makes you eligible to be considered across those networks.

Application Process

  • Submit your resume and confirm your work location.
  • Complete a short AI interview, approximately 20 minutes.
  • Your background will be verified and, if appropriate, added to the materials science talent pool for future project matching.

Job Tags

Hourly pay, Remote work

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