Remote AI QA Specialist — Computer Science Ops

AI Trainer Jobs

United States

Remote

USD 99,000 - 135,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is seeking a Computer Science Specialist to perform remote review of AI outputs across CS 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.

Computer Science 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,

Qualifications

  • Direct working experience in computer science specialist operations on real teams for Computer Science Specialist 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 computer science specialist operations workflows, playbooks, and firm policy for Computer Science 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.Track Operations & business review Work model Remote · Independent specialist contractor

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Computer Science specialist operations
Computer Science

Job description

AI Trainer Jobs is seeking a Computer Science Specialist to perform remote review of AI outputs across CS 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.

Computer Science 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,

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