Accents/Dialects QA Reviewer (Remote Contractor)

AuraOne, Inc.; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

AuraOne, Inc. is seeking a Crowd Workers Accents/Dialects specialist contractor to review AI outputs, grade workflow correctness, policy adherence, and stakeholder fit. You will flag operational risk and document next steps to help train the modeling team.

This is a remote, US-eligible contractor role requiring about 10 hours per week with hourly compensation determined after interview.

Qualifications

• Direct working experience in crowd workers accents/dialects specialist operations on real teams for Crowd Workers — Accents/Dialects 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 crowd workers accents/dialects specialist operations workflows, playbooks, and firm policy for Crowd Workers — Accents/Dialects 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

Accent/Dialect Ops

Job description

AuraOne, Inc. is seeking a Crowd Workers Accents/Dialects specialist contractor to review AI outputs, grade workflow correctness, policy adherence, and stakeholder fit. You will flag operational risk and document next steps to help train the modeling team.

This is a remote, US-eligible contractor role requiring about 10 hours per week with hourly compensation determined after interview.