Retrieval Relevance Task Evaluator

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

Job summary

AuraOne is seeking a Remote Retrieval Relevance Task Evaluator. You will review prompts and model outputs for retrieval relevance, applying a versioned rubric and writing structured feedback for the modeling team.

You will compare paired responses, label edge cases, and assign severity tags. Strong attention to detail and the ability to articulate rubric references are essential.

Qualifications

• Experience evaluating prompts and responses against rubrics.
• Ability to annotate outputs with structured feedback.
• Ability to name issues clearly and reference rubric clauses.

Responsibilities

• Evaluate retrieved relevance task outputs against a rubric.
• Label edge cases and severity tags for evaluations.
• Provide written rationales for stronger/ weaker responses.
• Flag hallucinations and unsafe content with tags.

Skills

Evaluation experience

Annotation experience

Clear written reasoning

Attention to detail

Async availability

Job description

Retrieval Relevance Task Evaluator is a remote evaluation track for reviewing retrieval relevance task 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.

Category: Search, Web & Browser Agents - Pay: $30-60 / hr - Location: Remote - US-eligible - Contractor

Retrieval Relevance Task Evaluator is a remote evaluation track for reviewing retrieval relevance task evaluation prompts and responses against AuraOne's quality rubric.

About the role

Retrieval Relevance Task Evaluator is a remote evaluation track for reviewing retrieval relevance task 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 retrieval relevance task 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 retrieval relevance task evaluation model outputs against a versioned rubric and assign severity tags for Retrieval Relevance Task 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.

Role details

Track Evaluation & annotation Work model Remote - Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on retrieval relevance task evaluation or adjacent content for Retrieval Relevance Task 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 retrieval relevance task 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

Hourly rate confirmed after the interview process.
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
• Retrieval Relevance Task evaluation
• Web research
• Source grounding
• Browser automation
• Retrieval
• Relevance

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.