Pull Request Reasoning Workflow Reviewer

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

AuraOne seeks a remote Pull Request Reasoning Workflow Reviewer to evaluate PR reasoning outputs against a defined rubric. You will help label edge cases, provide structured feedback, and support retraining efforts for the modeling team.

As a contractor, you will compare responses, justify selections, and flag issues with precise reasoning and severity tags. This role requires strong attention to detail and async availability.

Qualifications

• Experience evaluating model outputs using rubrics and tagging failures.
• Ability to annotate and label edge cases with structured feedback.
• Strong written reasoning and attention to detail.

Responsibilities

• Evaluate PR reasoning workflow outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger one with a rationale.
• Label hallucinations, instruction-following failures, and unsafe content with tags.
• Capture ambiguous prompts and route for rubric updates.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Pull Request Reasoning Workflow

Code review

Software testing

Agent evaluation

Pull

Request

Reasoning

Job description

Pull Request Reasoning Workflow Reviewer is a remote evaluation track for reviewing pull request reasoning 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.

Category: Frontier Model Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Pull Request Reasoning Workflow Reviewer is a remote evaluation track for reviewing pull request reasoning 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.

About the role

Pull Request Reasoning Workflow Reviewer is a remote evaluation track for reviewing pull request reasoning workflow evaluation prompts and responses against AuraOne's quality rubric.
AI data reviewers help turn pull request reasoning workflow evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate pull request reasoning workflow evaluation model outputs against a versioned rubric and assign severity tags for Pull Request Reasoning 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.

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 pull request reasoning workflow evaluation or adjacent content for Pull Request Reasoning 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 pull request reasoning 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.

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
• Pull Request Reasoning Workflow evaluation
• Code review
• Software testing
• Agent evaluation
• Pull
• Request
• Reasoning

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.