Remote AI Workflow Quality Auditor

AI Trainer Jobs

United States

Remote

USD 97,000 - 138,000

Full time

2 days ago
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Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs seeks a Computer Systems Analysis Specialist to remotely review AI outputs across operations workflows. You will assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the next steps so the modeling team can train on it.

As an independent contractor, you will work on an hourly basis with US eligibility and flexible scheduling, typically around 10 hours per week, depending on program demand and reviewer confirmation.

Qualifications

  • Direct working experience in computer systems analysis specialist operations on real teams.
  • Ability 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 operations workflows, playbooks, and firm policy for Computer Systems Analysis Specialist 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

Computer systems analysis
Operational review
Workflow judgment
Stakeholder communication
Bilingual cross-region

Tools

AI-assisted workflow tooling
QA/QC processes

Job description

AI Trainer Jobs seeks a Computer Systems Analysis Specialist to remotely review AI outputs across operations workflows. You will assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the next steps so the modeling team can train on it.

As an independent contractor, you will work on an hourly basis with US eligibility and flexible scheduling, typically around 10 hours per week, depending on program demand and reviewer confirmation.

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