Remote AI Training Data Quality Reviewer

AuraOne Human Data; United States; Remote; USD 34,000 - 55,000; Full time

Benefits offered by this job

Remote work flexibility

Hourly pay after interview

Job summary

AuraOne, Inc. is seeking a Paid Photo Contributor for the Remote AI Training Data program. You will review AI outputs against workflows, policy, and tone, providing structured feedback to improve training data quality.

The role is contractor, remote in the United States, with the expectation of at least 10 hours per week and async availability. Compensation is hourly and determined after interview.

Qualifications

• Direct working experience in paid photo contributor opportunity specialist operations on real teams for Paid Photo Contributor - Remote AI Training Data 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 paid photo contributor opportunity specialist operations workflows, playbooks, and firm policy for Paid Photo Contributor - Remote AI Training Data 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

Paid Photo Contributor Opportunity

Job description

AuraOne, Inc. is seeking a Paid Photo Contributor for the Remote AI Training Data program. You will review AI outputs against workflows, policy, and tone, providing structured feedback to improve training data quality.

The role is contractor, remote in the United States, with the expectation of at least 10 hours per week and async availability. Compensation is hourly and determined after interview.