AI Evaluation Rubric Writer

AuraOne; United States; On-site; USD 28,000 - 62,000; Full time

Job summary

AI Trainer Jobs is seeking an AI Evaluation Rubric Writer for a remote, independent contractor role. You will review rubric writer prompts and responses, label edge cases, and provide structured feedback for retraining.

Responsibilities include evaluating outputs against a versioned rubric, annotating with severity tags, and calibrating against gold-standard samples weekly. Strong reasoning and attention to detail are essential; remote candidates from the US are eligible.

Qualifications

• Prior evaluation, annotation, or human-rater experience on ai evaluation rubric writer evaluation or adjacent content for AI Evaluation Rubric Writer work.

Responsibilities

• Evaluate ai evaluation rubric writer evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and provide a written rationale for the stronger answer.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route to program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

AI Evaluation Rubric Writer evaluation

Cross-cutting evaluation

AI evaluation

Rubric writing

Expert review

Job description

About the role

AI Evaluation Rubric Writer is a remote evaluation track for reviewing ai evaluation rubric writer 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 ai evaluation rubric writer 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 ai evaluation rubric writer evaluation model outputs against a versioned rubric and assign severity tags for AI Evaluation Rubric Writer 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 ai evaluation rubric writer evaluation or adjacent content for AI Evaluation Rubric Writer 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 ai evaluation rubric writer 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
• AI Evaluation Rubric Writer evaluation
• Cross-cutting evaluation roles
• AI evaluation
• Rubric writing
• Expert review