Remote AI Code Evaluation Expert

AuraOne Human Data; United States; Remote; USD 55,000 - 110,000; Full time

Job summary

AuraOne, Inc. recruits a Coding Expert (AI Code Evaluation) to remotely review AI outputs across coding specialist operations workflows.

You will grade workflow correctness, policy adherence, and stakeholder fit, and flag operational risk with severity tags. As a contractor, you will capture the right next steps so the modeling team can train on it, adjudicate disputed playbook calls, and maintain reviewer-quality scores through inter-rater calibration cycles.

Qualifications

• Direct working experience in coding specialist operations on real teams for Coding Expert (AI Code Evaluation) 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 coding specialist operations workflows, playbooks, and firm policy for Coding Expert (AI Code Evaluation) 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.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Coding specialist operations

Job description

AuraOne, Inc. recruits a Coding Expert (AI Code Evaluation) to remotely review AI outputs across coding specialist operations workflows.

You will grade workflow correctness, policy adherence, and stakeholder fit, and flag operational risk with severity tags. As a contractor, you will capture the right next steps so the modeling team can train on it, adjudicate disputed playbook calls, and maintain reviewer-quality scores through inter-rater calibration cycles.