Cloud Infrastructure Workflow Reviewer

AuraOne, Inc.; United States; Remote; USD 25,000 - 50,000; Part time

Job summary

AuraOne, Inc. is seeking a Cloud Infrastructure Workflow Reviewer to evaluate cloud infrastructure workflow model outputs. You will assign severity tags and provide written rationales for comparisons between responses.

This remote role requires prior evaluation or annotation experience, attention to detail, and reliable availability for at least 10 hours weekly. Successful candidates will help ensure high-quality outputs for AI data.

Qualifications

• Prior evaluation, annotation, or human-rater experience on cloud infrastructure workflow.
• 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 flagging issues with prompts.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate model outputs against a rubric and assign severity tags.
• Compare paired responses and write a rationale for the stronger answer.
• Label hallucinations and unsafe content with structured tags.
• Document recurring failure modes for model training.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Cloud Infrastructure Workflow evaluate

Code review

Software testing

Agent evaluation

Cloud

Infrastructure

Job description

Cloud Infrastructure Workflow Reviewer is a remote evaluation track for reviewing cloud infrastructure workflow 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 cloud infrastructure workflow evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate cloud infrastructure workflow evaluation model outputs against a versioned rubric and assign severity tags for Cloud Infrastructure Workflow 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 cloud infrastructure workflow evaluation or adjacent content for Cloud Infrastructure Workflow 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 cloud infrastructure workflow 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
• Cloud Infrastructure Workflow evaluation
• Code review
• Software testing
• Agent evaluation
• Cloud
• Infrastructure

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.