Video Annotation Reviewer

AI Trainer Jobs; United States; Remote; USD 48,000 - 76,000; Full time

Job summary

AI Trainer Jobs is seeking a QA auditor to review video annotation outputs for accuracy and consistency. You will verify temporal labels, content moderation flags, and transcription segments against project guidelines, acting as the final checkpoint before data moves to training pipelines.

Applicants should have at least 2 years in video annotation or content moderation, with strong English transcription verification skills and familiarity with timestamp-based tools like CVAT or Label Studio.

Qualifications

• 2+ years of video annotation or content moderation experience required.
• Strong English comprehension for transcript verification tasks.
• Familiarity with timestamp-based annotation tools (CVAT, Label Studio, or similar).

Responsibilities

• Audit existing annotations for accuracy and consistency.
• Verify temporal labels, content tags, and moderation flags.
• Provide written rationale for disagreements with the labeler.
• Escalate edge cases per labeling guidelines.

Skills

Video annotation

Content moderation

Transcript verification

QA and audit workflows

Label taxonomy interpretation

Tools

CVAT

Label Studio

Job description

Pay: $35-55/hour

You'll audit video annotation work submitted by other labelers - verifying that temporal labels, content tags, and moderation flags have been applied correctly and consistently. A typical task gives you a short video clip alongside the annotation a labeler submitted, and your job is to confirm accuracy, correct errors, and escalating edge cases that fall outside the label taxonomy. You're the last human checkpoint before this data goes into a training pipeline, so precision matters more than speed.

The annotation types you'll review include action recognition labels (start/end timestamps for specific activities), content moderation flags (violence, adult content, misinformation indicators), and English-language transcription segments matched to audio. You'll work through a structured interface that shows the original clip, the submitted labels, and fields for your verdict and notes. Disagreements with the original labeler require a written rationale. You are not re-labeling from scratch - you're auditing existing work, which means you need to be both accurate and consistent with the project's labeling guidelines.

You need at least 2 years of video annotation or content moderation experience, with strong English comprehension for transcript-verification tasks. Familiarity with timestamp-based annotation tools (e.g., CVAT, Label Studio, or proprietary tooling) is expected. Moderation experience with platforms that handle sensitive content is a plus, as some batches include flagged material requiring careful classification.

Skills & requirements

• Video annotation and temporal labeling
• Content moderation classification
• English-language transcription verification
• Annotation QA and audit workflows
• Label taxonomy interpretation

Category: Quality Review