Remote Corporate Designer — AI Output Quality Reviewer

AuraOne, Inc.; United States; Remote; USD 90,000 - 138,000; Full time

Benefits offered by this job

Studio experience

AI tooling familiarity

Asset standards familiarity

Job summary

AuraOne, Inc. is seeking a Corporate Designer for the Project Style review track.

This remote contractor role evaluates AI outputs against corporate designer standards, grading craft, constraints, and tooling, and documenting corrected approaches for training the modeling team. Responsibilities include reviewing AI outputs, applying a structured rubric, flagging file-format and naming issues, and recording corrections.

Qualifications

• Portfolio or production experience in corporate designer project style creative review or an adjacent creative discipline for Corporate Designer — Project Style work.
• Hands-on familiarity with the standard tooling for the discipline.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the craft issue and the standard being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current corporate designer project style creative review craft and tooling standards for Corporate Designer — Project Style assignments.
• Grade composition, constraint adherence, and production-readiness on a structured rubric.
• Flag tooling-specific failures (file format, scale, naming, layer hygiene) with severity tags.
• Capture the corrected approach or reference so the modeling team can train on it.
• Adjudicate disputed creative judgments against published references or firm style guides.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Creative review

Production-grade craft

Tooling fluency

Asset evaluation

Corporate Designer Project Style

Job description

AuraOne, Inc. is seeking a Corporate Designer for the Project Style review track.

This remote contractor role evaluates AI outputs against corporate designer standards, grading craft, constraints, and tooling, and documenting corrected approaches for training the modeling team. Responsibilities include reviewing AI outputs, applying a structured rubric, flagging file-format and naming issues, and recording corrections.