AI Facial Data Collection Contributor [referrals]

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Part time

Benefits offered by this job

Remote work

Contractor engagement

Job summary

AI Trainer Jobs is seeking a remote contractor to contribute to AI facial data collection referrals specialist operations. You will review outputs, grade against workflows, and flag policy gaps, providing clear next steps for the modeling team. This independent role requires reliable async availability and experience with multi-page rubrics. Compensation is hourly, with rate confirmed after interview.

Remote work from the United States, part of a flexible program that matches project demand.

Qualifications

• Direct experience in AI facial data collection referrals operations on real teams.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning naming the policy/workflow applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against workflows, playbooks, and policy.
• Grade tone, escalation, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy gaps with severity tags.
• Capture the right next step for model training.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

AI data collection

Tools

AI review tooling

Job description

About the role

AI Facial Data Collection Contributor [referrals] is a remote review track for evaluating AI outputs across ai facial data collection contributor referrals 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 referrals 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 referrals specialist operations workflows, playbooks, and firm policy for AI Facial Data Collection Contributor [referrals] 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 referrals specialist operations on real teams for AI Facial Data Collection Contributor [referrals] 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 contributor referrals 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 referrals 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.