Historical Reasoning AI Evaluator

AuraOne, Inc.; United States; Remote; USD 34,000 - 62,000; Full time

Benefits offered by this job

Remote work

Contractor role

Job summary

AuraOne, Inc. seeks a remote Historical Reasoning AI Evaluator to review prompts and responses, applying AuraOne's quality rubric. You will label edge cases, provide structured feedback, and inform retraining efforts through precise rationale.

The role supports a contractor arrangement with remote, US-eligible work and requires strong writing skills to name issues clearly and apply rubric clauses across batches.

Qualifications

• Experience evaluating or annotating historical reasoning AI outputs.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning naming the issue and rubric clause.
• Reliability with async availability for at least 10 hours per week.

Responsibilities

• Evaluate historical reasoning AI evaluation outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations and policy violations with structured tags.
• Capture ambiguous prompts and route to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples.
• Document recurring failure modes for model retraining.

Skills

Model evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Historical reasoning

Learning design

Assessment review

Pedagogy

Job description

Historical Reasoning AI Evaluator is a remote evaluation track for reviewing historical reasoning 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 historical reasoning ai evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate historical reasoning ai evaluation model outputs against a versioned rubric and assign severity tags for Historical Reasoning AI Evaluator 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 historical reasoning ai evaluation or adjacent content for Historical Reasoning AI Evaluator 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 historical reasoning 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
• Historical Reasoning AI evaluation
• Learning design
• Assessment review
• Pedagogy
• Historical
• Reasoning

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 historical reasoning ai evaluation or adjacent content for Historical Reasoning AI Evaluator 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.