Remote SERP Analysis QA & Rubric Specialist

AI Trainer Jobs; United States; Remote; USD 41,000 - 83,000; Full time

Job summary

AuraOne seeks a SERP Analysis Research QA Specialist to remotely review prompts and responses against its quality rubric. You will compare paired outputs, label edge cases, and generate structured feedback for the modeling team.

Ideal candidates have experience in evaluation or content moderation, can apply rubrics consistently across long batches, and communicate clear reasoning. This is a remote contractor role with US eligibility and hourly compensation after interview.

Qualifications

• Prior evaluation, annotation, or human-rater experience on SERP analysis research QA 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.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate SERP analysis research QA evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with 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

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

SERP Analysis Research QA evaluation

Web research

Source grounding

Browser automation

SERP

Analysis

Job description

AuraOne seeks a SERP Analysis Research QA Specialist to remotely review prompts and responses against its quality rubric. You will compare paired outputs, label edge cases, and generate structured feedback for the modeling team.

Ideal candidates have experience in evaluation or content moderation, can apply rubrics consistently across long batches, and communicate clear reasoning. This is a remote contractor role with US eligibility and hourly compensation after interview.