AI Facial Data Collection Contributor (Ethnicity)

AI Trainer Jobs; United States; Remote; USD 96,000 - 138,000; Full time

Job summary

AuraOne is seeking an AI Facial Data Collection Contributor (Ethnicity) to remotely evaluate AI outputs across contributor operations workflows. Reviewers rate workflow correctness, policy adherence, and stakeholder fit; flag risks and document actions for the modeling team to use in training.

This contractor role offers an hourly rate of $85 with US remote eligibility. You will apply multi-page rubrics, provide clear written reasoning, and ensure consistent quality across long batches.

Qualifications

• Direct working experience in AI data collection contributor operations or related QA roles.
• Ability to apply structured rubrics consistently across large task batches.
• Clear written reasoning that cites the applicable policy or workflow.

Responsibilities

• Review AI outputs against workflows, playbooks, and firm policy for ethnicity-related 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.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

AI Facial Data Collection Contributor

AI model evaluation

Job description

AI Facial Data Collection Contributor (Ethnicity) is a remote review track for evaluating AI outputs across ai facial data collection contributor 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

About the role

AI Facial Data Collection Contributor (Ethnicity) is a remote review track for evaluating AI outputs across ai facial data collection contributor 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.
AI Facial Data Collection Contributor 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 ai facial data collection contributor specialist operations workflows, playbooks, and firm policy for AI Facial Data Collection Contributor (Ethnicity) 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.

Role details

Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Direct working experience in ai facial data collection contributor specialist operations on real teams for AI Facial Data Collection Contributor (Ethnicity) 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 ai facial data collection contributor 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
• AI Facial Data Collection Contributor specialist operations
• AI model evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.