Open Source Issue Workflow Reviewer

AuraOne, Inc.; United States; Remote; USD 34,440,000 - 55,104,000; Full time

Benefits offered by this job

Remote work (US)

Job summary

AuraOne, Inc. is seeking a remote Open Source Issue Workflow Reviewer to evaluate model outputs against a versioned rubric. You will compare paired responses, assign severity tags, and write structured feedback to help retrain the model.

This contractor role requires careful rubric application across multi-page evaluations, spotting hallucinations, unsafe content, and drafting clear rationales. Availability of at least 10 hours per week and strong written communication are essential.

Qualifications

• Prior evaluation, annotation, or human-rater experience on open source issue workflow evaluation or adjacent content for Open Source Issue 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.

Responsibilities

• Evaluate open source issue workflow evaluation model outputs against a versioned rubric and assign severity tags for Open Source Issue 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.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Open Source Issue Workflow evaluation

Code review

Software testing

Agent evaluation

Open

Source

Issue

Job description

Open Source Issue Workflow Reviewer is a remote evaluation track for reviewing open source issue 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 open source issue workflow evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate open source issue workflow evaluation model outputs against a versioned rubric and assign severity tags for Open Source Issue 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 open source issue workflow evaluation or adjacent content for Open Source Issue 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 open source issue 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
• Open Source Issue Workflow evaluation
• Code review
• Software testing
• Agent evaluation
• Open
• Source
• Issue

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.