Remote AI Operations QA Reviewer – Competitive Coder

AI Trainer Jobs

United States

Remote

USD 99,000 - 135,000

Part time

3 days ago
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Job summary

AI Trainer Jobs seeks a contractor for a remote reviewer role assessing AI outputs in competitive coder workflows. You will grade tone, policy adherence, and stakeholder fit, flag risks, and document the next steps to guide model training.

Experience in competitive coder operations and the use of multi-page rubrics is essential, with strong written reasoning and attention to detail. Availability of at least 10 hours per week is expected.

Qualifications

  • Direct working experience in competitive coder operations.
  • Ability to apply multi-page rubrics consistently.
  • 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 competitive coder operations workflows, playbooks, and firm policy for Competitive Coder 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.
  • Adjudicate disputed treatments against published playbooks or firm guidance.

Skills

Competitive coder operations
Policy adherence
Workflow judgment
Stakeholder communication
Remote collaboration

Tools

AI-assisted workflow tooling

Job description

AI Trainer Jobs seeks a contractor for a remote reviewer role assessing AI outputs in competitive coder workflows. You will grade tone, policy adherence, and stakeholder fit, flag risks, and document the next steps to guide model training.

Experience in competitive coder operations and the use of multi-page rubrics is essential, with strong written reasoning and attention to detail. Availability of at least 10 hours per week is expected.

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