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

Competitive Coder is a remote review track for evaluating AI outputs across competitive coder 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.

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Competitive Coder is a remote review track for evaluating AI outputs across competitive coder specialist operations workflows.

Role details
About the role

Competitive Coder is a remote review track for evaluating AI outputs across competitive coder 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.
Competitive Coder 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 competitive coder specialist 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.
What you should bring
  • Direct working experience in competitive coder specialist operations on real teams for Competitive Coder 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 competitive coder 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
  • Competitive Coder specialist operations
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