AI QA Reviewer, Electrical & Hardware Ops (Remote)

AuraOne, Inc.; United States; Remote; USD 138,000 - 165,000; Full time

Job summary

AuraOne, Inc. is seeking an experienced contractor to remotely evaluate AI outputs in the Electrical Hardware Engineering Experts space.

You will review against established workflows, grade tone and escalation logic, and flag policy-adherence gaps to guide improvements. Responsibilities include documenting actionable next steps for model training, adjudicating disputes per firm guidance, and maintaining high inter-rater calibration scores.

Qualifications

• Direct working experience in electrical hardware engineering experts 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 electrical hardware engineering experts specialist operations workflows, playbooks, and firm policy for Electrical & Hardware Engineering Experts 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

Electrical Hardware Engineering Ops

Job description

AuraOne, Inc. is seeking an experienced contractor to remotely evaluate AI outputs in the Electrical Hardware Engineering Experts space.

You will review against established workflows, grade tone and escalation logic, and flag policy-adherence gaps to guide improvements. Responsibilities include documenting actionable next steps for model training, adjudicating disputes per firm guidance, and maintaining high inter-rater calibration scores.