Human Data Manager

AI Trainer Jobs; United States; Remote; USD 99,000 - 135,000; Full time

Job summary

AuraOne is seeking a Human Data Manager contractor to remotely review AI outputs within human data manager operations, evaluating workflow alignment with policy and stakeholder fit. You will grade tone, escalation logic, and adherence on a structured rubric, and document next steps so the modeling team can train on them.

The role emphasizes multi-page rubric consistency, clear reasoning naming the applied policy, and strong attention to detail.

Qualifications

• Direct working experience in human data manager specialist operations on real teams.
• Ability to apply multi-page rubrics consistently across tasks.
• Clear written reasoning naming the policy or workflow applied.

Responsibilities

• Review AI outputs against current human data manager workflows, playbooks, and firm policy for Human Data Manager 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.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Human Data Manager ops

Job description

Human Data Manager is a remote review track for evaluating AI outputs across human data manager specialist operations workflows.

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Human Data Manager is a remote review track for evaluating AI outputs across human data manager specialist operations workflows.

Role details

About the role

Human Data Manager is a remote review track for evaluating AI outputs across human data manager 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.
Human Data Manager specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

Responsibilities

• Review AI outputs against current human data manager specialist operations workflows, playbooks, and firm policy for Human Data Manager 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.

What you should bring

• Direct working experience in human data manager specialist operations on real teams for Human Data Manager 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.

Example tasks

• Grade a model's response to a real human data manager specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• Prior experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.
• Bilingual experience for cross-region operations.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Human Data Manager specialist operations