Remote Derivatives & Options AI Evaluator

AuraOne; United States; On-site; USD 3,444,000 - 8,266,000; Part time

Job summary

AuraOne is seeking a remote contractor for the Derivatives and Options AI Evaluator track. You will review derivatives and options AI evaluation prompts and responses, compare paired outputs, and provide structured feedback to support retraining efforts.

The role emphasizes thorough written rationale, tagging, and alignment with a versioned rubric. Ideal candidates have prior experience in evaluation or annotation of derivative-related AI tasks, strong attention to detail, and reliable weekly

Qualifications

• Prior evaluation, annotation, or human-rater experience on derivatives and options AI evaluation or adjacent content.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.
• Comfort applying multi-page rubrics consistently across long batches.

Responsibilities

• Evaluate derivatives and options AI evaluation model outputs against a versioned rubric and assign severity tags for Derivatives and Options AI Evaluator 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 evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

Derivative evaluation

Quantitative finance

AI evaluation

Rubric writing

Expert review

Job description

AuraOne is seeking a remote contractor for the Derivatives and Options AI Evaluator track. You will review derivatives and options AI evaluation prompts and responses, compare paired outputs, and provide structured feedback to support retraining efforts.

The role emphasizes thorough written rationale, tagging, and alignment with a versioned rubric. Ideal candidates have prior experience in evaluation or annotation of derivative-related AI tasks, strong attention to detail, and reliable weekly