Remote Linux Post-Production QA Specialist (Cinelerra)

AuraOne, Inc.; United States; Remote; USD 55,000 - 165,000; Part time

Job summary

AuraOne, Inc. is seeking a Linux-Based Post-Production Specialist (Cinelerra) to remotely review AI outputs within linux-based workflows. This contractor role focuses on evaluating workflow correctness, policy adherence, and stakeholder fit to flag risks and define next steps for model training.

You'll work asynchronously for at least 10 hours per week, reviewing batches, applying rubrics, and maintaining quality scores while collaborating with the modeling team.

Qualifications

• Direct working experience in linux based post production specialist operations on real teams for Linux-Based Post-Production Specialist (Cinelerra) 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 linux based post production specialist operations workflows, playbooks, and firm policy for Linux-Based Post-Production Specialist (Cinelerra) 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

Linux Based Post Production specialist

Cinelerra

Job description

AuraOne, Inc. is seeking a Linux-Based Post-Production Specialist (Cinelerra) to remotely review AI outputs within linux-based workflows. This contractor role focuses on evaluating workflow correctness, policy adherence, and stakeholder fit to flag risks and define next steps for model training.

You'll work asynchronously for at least 10 hours per week, reviewing batches, applying rubrics, and maintaining quality scores while collaborating with the modeling team.