Remote Krita Expert - AI Output Reviewer and Workflow Judge

AuraOne

United States

On-site

USD 26,174 - 89,544

Part time

14 days+
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Job summary

AuraOne is seeking a Krita Expert reviewer to remotely assess AI outputs across krita specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk, and document the right next step so the modeling team can train on it.

Responsibilities include evaluating AI outputs against current workflows, playbooks, and firm policy; grading tone, escalation logic, and stakeholder fit with a structured rubric; and maintaining

Qualifications

  • Direct working experience in krita specialist operations on real teams for Krita Expert work.
  • 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 krita specialist operations workflows, playbooks, and firm policy for Krita Expert 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.
  • Adjudicate disputed treatments against published playbooks or firm guidance.
  • Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Krita specialist operations
Illustration
Krita

Job description

AuraOne is seeking a Krita Expert reviewer to remotely assess AI outputs across krita specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk, and document the right next step so the modeling team can train on it.

Responsibilities include evaluating AI outputs against current workflows, playbooks, and firm policy; grading tone, escalation logic, and stakeholder fit with a structured rubric; and maintaining

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