Remote Enterprise AI Quality & Workflow Reviewer

AuraOne; United States; Teletrabalho; USD 99 000 - 135 000; Tempo parcial

Resumo da oferta

AuraOne is seeking an Enterprise Client Partner, Enterprise AI specialist operations reviewer who will work remotely from the US on a contractor basis. The role focuses on grading AI outputs against enterprise workflows, policy guidelines, and stakeholder fit, and documenting the next steps to train the model.

You will apply multi-page rubrics, provide clear reasoning for each decision, and flag policy-adherence gaps while maintaining calibration scores across reviews.

Qualificações

• Direct working experience in enterprise client partner enterprise ai specialist operations on real teams.
• Ability to apply 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.

Responsabilidades

• Review AI outputs against current enterprise client partner enterprise ai specialist operations workflows, playbooks, and firm policy for Enterprise Client Partner, Enterprise AI 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.

Conhecimentos

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Enterprise AI operations

AI model evaluation

Descrição da oferta de emprego

AuraOne is seeking an Enterprise Client Partner, Enterprise AI specialist operations reviewer who will work remotely from the US on a contractor basis. The role focuses on grading AI outputs against enterprise workflows, policy guidelines, and stakeholder fit, and documenting the next steps to train the model.

You will apply multi-page rubrics, provide clear reasoning for each decision, and flag policy-adherence gaps while maintaining calibration scores across reviews.