Remote Fraud Detection AI Reviewer

AuraOne, Inc.; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

AuraOne, Inc. is seeking a remote Fraud Detection AI Reviewer to evaluate AI outputs against a detailed rubric. You will compare paired responses, assign severity tags, and provide structured feedback for retraining the models.

This is a contractor, remote-ready role focused on high-precision review and calibration of judgments across multiple prompts. The ideal candidate has experience evaluating fraud-detection outputs, can clearly name issues with rubric references, and commits to weekly

Qualifications

• Prior evaluation, annotation, or human-rater experience on fraud detection ai evaluation or adjacent content.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause 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

• Evaluate fraud detection ai evaluation model outputs against a versioned rubric and assign severity tags for Fraud Detection AI Reviewer assignments.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Fraud Detection AI evaluation

Financial analysis

Audit review

Risk reasoning

Fraud

Detection

Job description

AuraOne, Inc. is seeking a remote Fraud Detection AI Reviewer to evaluate AI outputs against a detailed rubric. You will compare paired responses, assign severity tags, and provide structured feedback for retraining the models.

This is a contractor, remote-ready role focused on high-precision review and calibration of judgments across multiple prompts. The ideal candidate has experience evaluating fraud-detection outputs, can clearly name issues with rubric references, and commits to weekly