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AuraOne is seeking a Human Data Manager, New Grad for a remote contractor role. You will review AI outputs across human data manager workflows, grade workflow correctness, policy adherence, and stakeholder fit, and flag operational risk to guide the modeling team.
You will work asynchronously for at least 10 hours per week, with hourly compensation to be confirmed after interview, and placement depends on program demand and reviewer confirmation.
Human Data Manager, New Grad is a remote review track for evaluating AI outputs across human data manager new grad 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.
Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor
Human Data Manager, New Grad is a remote review track for evaluating AI outputs across human data manager new grad specialist operations workflows.
Human Data Manager, New Grad is a remote review track for evaluating AI outputs across human data manager new grad 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 New Grad 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.
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.
Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.
The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
Placement timing depends on program demand and reviewer confirmation.