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Search Generalist — AI Search Evaluation (Remote)

Salary
$30–$40/hr
Hiring from
United States
Work type
Remote
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Human Data / Search, Web & Browser Agents

Search Generalist — AI Search Evaluation (Remote)

Search Generalist — AI Search Evaluation (Remote) is a remote evaluation track for reviewing search generalist evaluation prompts and responses against AuraOne's quality rubric.

ContractorRemote — US-eligible$30–$40 / hr

About the role

Search Generalist — AI Search Evaluation (Remote) is a remote evaluation track for reviewing search generalist 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 search generalist 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 search generalist evaluation model outputs against a versioned rubric and assign severity tags for Search Generalist — AI Search Evaluation (Remote) 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.

What you should bring

  • Prior evaluation, annotation, or human-rater experience on search generalist evaluation or adjacent content for Search Generalist — AI Search Evaluation (Remote) 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 search generalist 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

$30–$40 / 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
  • Search Generalist evaluation

Application process

Submitting this form sends your application directly to the recruiting team for this specialist cohort.

About AuraOne

AuraOne is a human data company for AI teams and a workflow service for enterprises. It supplies expert judgment, speech, physical-world data and checked workflows.

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