Generalist Search Expert

About the role

Generalist Search Expert is a remote evaluation track for reviewing generalist search 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 generalist search evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Review browser automation and multi-step search agents. Check whether sources hold up.

Responsibilities

• Evaluate generalist search evaluation model outputs against a versioned rubric and assign severity tags for Generalist Search Expert 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.