Remote Design & Frontend QA Specialist

AuraOne; United States; On-site; USD 55,000 - 110,000; Part time

Job summary

AuraOne is seeking a Design & Frontend Specialist operations reviewer to evaluate AI outputs within its remote workflow. You will assess design frontend tasks, apply multi-page rubrics, and provide clear reasoning that links back to policy and playbooks.

Ideal candidates have hands-on experience in operations for design frontends, work well asynchronously for at least 10 hours weekly, and can flag issues and propose next steps for model training.

Qualifications

• Direct working experience in design frontend specialist operations on real teams.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow 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.

Responsibilities

• Review AI outputs against current design frontend specialist operations workflows, playbooks, and firm policy for Design & Frontend Specialist assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Design Frontend operations

Design

Job description

AuraOne is seeking a Design & Frontend Specialist operations reviewer to evaluate AI outputs within its remote workflow. You will assess design frontend tasks, apply multi-page rubrics, and provide clear reasoning that links back to policy and playbooks.

Ideal candidates have hands-on experience in operations for design frontends, work well asynchronously for at least 10 hours weekly, and can flag issues and propose next steps for model training.