Climate Simulation AI Reviewer

AuraOne, Inc.; United States; Remote; USD 28,000 - 69,000; Full time

Job summary

AuraOne, Inc. seeks a Climate Simulation AI Reviewer to remotely evaluate prompts and responses against the company quality rubric. You'll compare outputs, label edge cases, and provide structured feedback to help retrain models.

The role emphasizes careful reasoning, calibration, and documenting recurring issues for the modeling team. It is a contractor, remote position open to US-based applicants.

Qualifications

• Experience reviewing climate simulation AI outputs with structured feedback.
• Ability to apply a multi-page rubric consistently.
• Clear written reasoning naming rubric clauses.
• Attention to detail and identifying prompt issues.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate climate simulation AI outputs against a versioned rubric.
• Compare paired responses and select the stronger one with rationale.
• Label hallucinations, instruction-following failures, and unsafe content.
• Capture ambiguous prompts and route to the program team for rubric updates.
• Maintain reviewer-quality scores by calibration against gold-standard examples.
• Document recurring failure modalities for rubric updates.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Climate Simulation AI evaluation

Scientific reasoning

Research review

Job description

Climate Simulation AI Reviewer is a remote evaluation track for reviewing climate simulation 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.

Why this role matters

AI data reviewers help turn climate simulation ai evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate climate simulation ai evaluation model outputs against a versioned rubric and assign severity tags for Climate Simulation 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.


• 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 climate simulation ai evaluation or adjacent content for Climate Simulation 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.

Example tasks

• Compare two climate simulation 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.

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


• Climate Simulation AI evaluation


• Scientific reasoning


• Research review


• Method validation


• Climate


• Simulation

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 climate simulation ai evaluation or adjacent content for Climate Simulation 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.