Quantitative Rates QA & AI Review Specialist

AuraOne; United States; Remote; USD 96,000 - 138,000; Full time

Job summary

AuraOne is seeking a Quantitative Rates Researcher, a remote contractor role focused on evaluating AI outputs across quantitative rates operations. You will review workflows, apply playbooks, and ensure policy adherence while flagging risk and capturing actionable next steps for model training.

The role emphasizes careful rubric-based assessment, clear written reasoning, and reliable async availability for at least 10 hours per week, with an emphasis on accuracy, cross-team collaboration, and

Qualifications

• Direct working experience in quantitative rates researcher specialist operations on real teams.
• 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 quantitative rates researcher specialist operations workflows, playbooks, and firm policy for Quantitative Rates Researcher 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

Quantitative rates research

Finance

AI model evaluation

Job description

AuraOne is seeking a Quantitative Rates Researcher, a remote contractor role focused on evaluating AI outputs across quantitative rates operations. You will review workflows, apply playbooks, and ensure policy adherence while flagging risk and capturing actionable next steps for model training.

The role emphasizes careful rubric-based assessment, clear written reasoning, and reliable async availability for at least 10 hours per week, with an emphasis on accuracy, cross-team collaboration, and