Remote QA Reviewer: Inorganic Materials & Semiconductors

AI Trainer Jobs

United States

Remote

USD 98,000 - 134,000

Part time

2 days ago
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Job summary

Inorganic Materials, Semiconductor & Superconductor Experts is seeking a remote reviewer to assess AI outputs against established workflows and policy. The role focuses on grading tone, escalation logic, and stakeholder fit using a structured rubric, with attention to operational risk and policy gaps.

The contractor model provides flexible hours and ongoing alignment with program needs. The work emphasizes documenting actionable next steps to train the modeling team, ensuring consistency across

Qualifications

  • Direct working experience in inorganic materials, semiconductor, or related operations teams.
  • Clear written reasoning that names the policy or workflow applied.
  • Strong attention to detail and ability to flag prompt issues.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current workflows, playbooks, and firm policy.
  • Grade tone, escalation logic, and stakeholder fit on a structured rubric.
  • Flag operational risk, missed escalations, and policy-adherence gaps.
  • Capture the right next step so the modeling team can train on it.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
AI tooling familiarity

Tools

AI-assisted tooling

Job description

Inorganic Materials, Semiconductor & Superconductor Experts is seeking a remote reviewer to assess AI outputs against established workflows and policy. The role focuses on grading tone, escalation logic, and stakeholder fit using a structured rubric, with attention to operational risk and policy gaps.

The contractor model provides flexible hours and ongoing alignment with program needs. The work emphasizes documenting actionable next steps to train the modeling team, ensuring consistency across

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