Remote AI QA & Source Inspection Specialist

AuraOne; United States; Remote; USD 99,000 - 135,000; Full time

Benefits offered by this job

Remote work (US-eligible)

Contractor employment

Job summary

AuraOne seeks a QA & Source Inspection Specialist — AI Quality Review (Remote) to evaluate AI outputs across QA workflows and ensure policy adherence. This remote contractor role emphasizes grading accuracy and documenting the right next steps for training the model.

Responsibilities include applying rubrics, flagging risks, and providing clear written reasoning. Reliable async availability of at least 10 hours per week is required.

Qualifications

• Direct working experience in qa source inspection specialist operations on real teams for QA & Source Inspection Specialist — AI Quality Review (Remote) work.
• 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 qa source inspection specialist operations workflows, playbooks, and firm policy for QA & Source Inspection Specialist — AI Quality Review (Remote) 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

QA Source Inspection specialist

Job description

AuraOne seeks a QA & Source Inspection Specialist — AI Quality Review (Remote) to evaluate AI outputs across QA workflows and ensure policy adherence. This remote contractor role emphasizes grading accuracy and documenting the right next steps for training the model.

Responsibilities include applying rubrics, flagging risks, and providing clear written reasoning. Reliable async availability of at least 10 hours per week is required.