Fluid Dynamics AI Reviewer

AI Trainer Jobs; United States; Remote; USD 41,000 - 83,000; Full time

Benefits offered by this job

Remote work

Contractor role

Hourly pay after interview

Job summary

AuraOne is seeking a Fluid Dynamics AI Reviewer to remotely evaluate prompts and responses against its quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback to retrain the model.

This contractor role requires careful reasoning, detail orientation, and the ability to work asynchronously for at least 10 hours per week. Prior experience in evaluation or content moderation is a plus.

Qualifications

• Experience evaluating AI prompts or similar content.
• Ability to apply a rubric consistently across long batches.
• Excellent written reasoning that names issues and rubric clauses.

Responsibilities

• Evaluate AI outputs against a rubric and assign severity tags.
• Compare paired responses and justify the chosen answer.
• Label hallucinations and unsafe content with policy tags.
• Flag ambiguous prompts for rubric updates.
• Calibrate scores using gold-standard examples weekly.

Skills

Edge-case labeling

Structured feedback

Remote work experience

Attention to detail

Job description

Fluid Dynamics AI Reviewer is a remote evaluation track for reviewing fluid dynamics ai 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

Fluid Dynamics AI Reviewer is a remote evaluation track for reviewing fluid dynamics ai evaluation prompts and responses against AuraOne's quality rubric.

Fluid Dynamics AI Reviewer is a remote evaluation track for reviewing fluid dynamics ai 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

Fluid Dynamics AI Reviewer is a remote evaluation track for reviewing fluid dynamics ai 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.
AI data reviewers help turn fluid dynamics ai 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 fluid dynamics ai evaluation model outputs against a versioned rubric and assign severity tags for Fluid Dynamics AI 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.

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 fluid dynamics ai evaluation or adjacent content for Fluid Dynamics AI 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.

Role signals

Example tasks

• Compare two fluid dynamics ai 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
• Fluid Dynamics AI evaluation
• Scientific reasoning
• Research review
• Method validation
• Fluid
• Dynamics