Instruction Following Failure Analysis Reviewer

AuraOne, Inc.; United States; Remote; USD 39,000 - 55,000; Full time

Job summary

AuraOne, Inc. seeks an Instruction Following Failure Analysis Reviewer for remote work in the United States. You will evaluate model outputs against a rubric, assign severity tags, and compare paired responses with rationales for the stronger answer.

The role emphasizes labeling unsafe content and annotating failures to improve training and rubrics. Ideal candidates have prior experience in instruction-following evaluation, strong written reasoning, and the ability to work asynchronously for at

Qualifications

• Prior evaluation or annotation experience on instruction following failure analysis evaluation or adjacent content.
• 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 instruction following failure analysis assessment model outputs against a rubric and assign severity tags.
• Compare paired responses and choose the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them for rubric updates.
• Maintain reviewer quality scores by calibrating against gold-standard examples weekly.
• Document recurring failure modes for future training.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Instruction Following Failure Analysis

Frontier evaluation

Rubric calibration

Failure analysis

Instruction

Following

Job description

Instruction Following Failure Analysis Reviewer is a remote evaluation track for reviewing instruction following failure analysis 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.

Why this role matters

AI data reviewers help turn instruction following failure analysis evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate instruction following failure analysis evaluation model outputs against a versioned rubric and assign severity tags for Instruction Following Failure Analysis Reviewer 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.

Qualifications

• Prior evaluation, annotation, or human-rater experience on instruction following failure analysis evaluation or adjacent content for Instruction Following Failure Analysis Reviewer 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.

Example tasks

• Compare two instruction following failure analysis 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.

Nice to have

• 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.

Skills

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Instruction Following Failure Analysis evaluation
• Frontier evaluation
• Rubric calibration
• Failure analysis
• Instruction
• Following

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.