AI Facial Data Collection Associate (Siblings)

AuraOne

United States

On-site

USD 28,000 - 55,000

Full time

7 days ago
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Job summary

AI Trainer Jobs is seeking an AI Facial Data Collection Associate (Siblings) to remotely review AI outputs, assess alignment with workflows and policies, and flag risks. The role involves grading tone, escalation logic, and stakeholder fit on a structured rubric, with documentation of corrective next steps for model training.

Ideal candidates have direct experience with AI facial data collection operations, strong attention to detail, and the ability to apply multi-page rubrics across long

Qualifications

  • Direct working experience in AI facial data collection operations on real teams.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the policy or workflow being applied.
  • Strong attention to detail and ability to flag when a prompt is the problem.

Responsibilities

  • Review outputs against workflows, playbooks and policy for AI Facial Data Collection Associate (Siblings) 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 steps so the modeling team can train on it.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Bilingual experience

Tools

AI workflow tooling

Job description

About the role

AI Facial Data Collection Associate (Siblings) is a remote review track for evaluating AI outputs across ai facial data collection 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 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 specialist operations workflows, playbooks, and firm policy for AI Facial Data Collection Associate (Siblings) 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 specialist operations on real teams for AI Facial Data Collection Associate (Siblings) 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.

Role signals

Example tasks

  • Grade a model's response to a real ai facial data collection 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 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

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

  • 01 Confirm profile and eligibility details.
  • 02 Attach this role deliberately.
  • 03 Receive a human review decision or follow-up.
    Placement timing depends on program demand and reviewer confirmation.
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