Multi-Step Reasoning Failure Analysis Reviewer

AuraOne, Inc.; United States; Remote; USD 41,000 - 55,000; Full time

Benefits offered by this job

Remote work

Contractor role

Job summary

AuraOne, Inc. is seeking a Remote Multi-Step Reasoning Failure Analysis Reviewer on a CONTRACTOR basis. You will review model outputs, apply a versioned rubric, and label edge cases with severity tags. Ground truth and compare paired responses to select stronger answers with clear rationales.

Excellent written reasoning and attention to detail are required, plus reliable weekly availability for asynchronous work across US time zones. This role supports AuraOne's Human Data quality initiatives.

Qualifications

• Prior evaluation, annotation, or human-rater experience on multi step reasoning failure analysis 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.
• 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.

Responsibilities

• Evaluate multi step reasoning failure analysis evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them to the program team for rubric updates.
• Calibrate reviewer quality against gold-standard examples weekly.
• Document recurring failure modes to inform future training.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Multi Step Reasoning Failure Analysis

Frontier evaluation

Rubric calibration

Failure analysis

Multi

Step

Reasoning

Job description

Multi-Step Reasoning Failure Analysis Reviewer is a remote evaluation track for reviewing multi step reasoning 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 multi step reasoning failure analysis evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate multi step reasoning failure analysis evaluation model outputs against a versioned rubric and assign severity tags for Multi-Step Reasoning 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 multi step reasoning failure analysis evaluation or adjacent content for Multi-Step Reasoning 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 multi step reasoning 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
• Multi Step Reasoning Failure Analysis evaluation
• Frontier evaluation
• Rubric calibration
• Failure analysis
• Multi
• Step
• Reasoning

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.

Prior evaluation, annotation, or human-rater experience on multi step reasoning failure analysis evaluation or adjacent content for Multi-Step Reasoning 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.