Illustration Quality Evaluator

AI Trainer Jobs; United States; Remote; USD 2,066,000 - 4,133,000; Part time

Job summary

AI Trainer Jobs is seeking an Illustration Quality Evaluator for a remote contractor role. Review illustration quality evaluation prompts and responses against a published rubric, compare paired outputs, and provide structured feedback to support retraining efforts.

You will label edge cases, document rationales, and help calibrate reviewers through ongoing scoring and rubric updates. This position emphasizes careful analysis, clear written reasoning, and reliable part-time availability.

Qualifications

• Prior evaluation, annotation, or human-rater experience in illustration quality evaluation.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning naming the issue and rubric clause.
• Strong attention to detail and ability to flag prompt problems.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate illustration quality evaluation model outputs against a rubric and assign severity tags for Illustration Quality 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.

Skills

Evaluation experience

Rubrics proficiency

Clear reasoning

Attention to detail

Async availability

Job description

Illustration Quality Evaluator is a remote evaluation track for reviewing illustration quality 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

Illustration Quality Evaluator is a remote evaluation track for reviewing illustration quality evaluation prompts and responses against AuraOne's quality rubric.

About the role

Illustration Quality Evaluator is a remote evaluation track for reviewing illustration quality 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 illustration quality 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 illustration quality evaluation model outputs against a versioned rubric and assign severity tags for Illustration Quality 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.

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 illustration quality evaluation or adjacent content for Illustration Quality 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.

Role signals

Example tasks

• Compare two illustration quality 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
• Illustration Quality evaluation
• Creative review
• Production quality
• Design critique
• Illustration

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.