Pricing / ROI / revenue economics Evaluator

AuraOne; United States; Remote; USD 110,000 - 165,000; Full time

Benefits offered by this job

Remote work

Job summary

AuraOne is seeking a remote Pricing / ROI / revenue economics Evaluator to review prompts and model outputs against our quality rubric. You will compare paired responses, label edge cases, and provide structured feedback to retrain the model.

As an independent contractor, you'll work asynchronously 10+ hours per week at $80–$120 per hour, with program-defined task volume and review pacing. This remote role offers flexibility and a focus on auditability.

Qualifications

• Prior evaluation, annotation, or human-rater experience on pricing / ROI / revenue economics 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 pricing / ROI / revenue economics evaluation model outputs against a versioned rubric and assign severity tags for 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.

Skills

Evaluation experience

Annotation experience

Multi-page rubrics

Clear written reasoning

Attention to detail

Async availability

Job description

About the role

Pricing / ROI / revenue economics Evaluator is a remote evaluation track for reviewing pricing / roi / revenue economics evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.
AI data reviewers help turn pricing / roi / revenue economics evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate pricing / roi / revenue economics evaluation model outputs against a versioned rubric and assign severity tags for Pricing / ROI / revenue economics 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.

Role details

Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation $80–$120 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on pricing / roi / revenue economics evaluation or adjacent content for Pricing / ROI / revenue economics Evaluator work.
• 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.

Role signals

Example tasks

• Compare two pricing / roi / revenue economics evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Useful experience

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

Compensation and schedule

$80–$120 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Pricing / ROI / revenue economics evaluation