Remote AI QA Auditor for Materials Science Ops

AI Trainer Jobs

United States

Remote

USD 83,000 - 110,000

Full time

2 days ago

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Job summary

AuraOne is seeking specialists for a remote review track focused on evaluating AI outputs across material science phd coding experts operations workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the next step for training the modeling team.

Role requires applying multi-page rubrics, clear written reasoning, and strong attention to detail, with 10+ hours per week of async work and compensation at $70 per hour as a

Qualifications

Direct working experience in material science phd coding experts specialist operations on real teams.
Comfort applying multi-page rubrics consistently across long batches.
Clear written reasoning that names the policy or workflow being applied.
Strong attention to detail and the ability to flag when a prompt itself is the problem.
Reliable async availability for at least 10 hours per week.

Responsibilities

Review AI outputs against current material science phd coding experts specialist operations workflows, playbooks, and firm policy for Material Science PhD Coding Experts assignments.
Grade tone, escalation logic, and stakeholder fit on a structured rubric.
Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
Capture the right next step so the modeling team can train on it.

Skills

Attention to detail

Policy interpretation

Rubric applying

Async availability

Job description

Role requires applying multi-page rubrics, clear written reasoning, and strong attention to detail, with 10+ hours per week of async work and compensation at $70 per hour as a

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