Remote Human Data QA Specialist – New Grad

AI Trainer Jobs; United States; Remote; USD 96,000 - 152,000; Full time

Job summary

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.

Qualifications

• Direct working experience in human data manager new grad specialist operations on real teams for Human Data Manager, New Grad 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 human data manager new grad specialist operations workflows, playbooks, and firm policy for Human Data Manager, New Grad 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.Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Human Data Manager New Grad specialist

Job description

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.