Remote QA Auditor: Linux Post-Production (Cinelerra)

AI Trainer Jobs

United States

Remote

USD 55,000 - 165,000

Part time

3 days ago
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Job summary

AI Trainer Jobs is seeking a Linux-Based Post-Production Specialist (Cinelerra) for a remote contractor role. You will review AI outputs, grade workflow correctness, and ensure policy adherence across linux-based post production processes. The role focuses on capturing actionable next steps for model training and risk flags.

The position is remote for US-eligible contractors, with compensation in the $40–$120 per hour range. Work is conducted asynchronously with defined task volumes and pacing.

Qualifications

  • Direct working experience in linux based post production specialist operations.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the policy or workflow being applied.
  • 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.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Linux Based Post Production operations
Cinelerra

Job description

AI Trainer Jobs is seeking a Linux-Based Post-Production Specialist (Cinelerra) for a remote contractor role. You will review AI outputs, grade workflow correctness, and ensure policy adherence across linux-based post production processes. The role focuses on capturing actionable next steps for model training and risk flags.

The position is remote for US-eligible contractors, with compensation in the $40–$120 per hour range. Work is conducted asynchronously with defined task volumes and pacing.

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