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Video Data Annotator

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Onsite

Video Data Annotator

FreshTalent

Video Data Annotator

Skills

Testing & QAAIGDPRProcess Improvement

11 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

13 October 2026

What they need


Video Data Annotator

Employment Type: Contractor

Work Arrangement: Remote

Compensation Annualized Compensation: $15,360–$19,200 per year

Hourly Rate: $8–$10 per hour

The annualized figure is based on 40 hours per week and 48 working weeks per year. Actual earnings will depend on project workload, assignments, and hours worked. About The Role We are seeking detail-oriented Video Data Annotators to support a specialized project focused on advancing artificial intelligence systems.

In this role, you will review and annotate short video and audio clips, evaluate AI-generated descriptions, and assess multimedia content against defined guidelines. Your work will help improve the accuracy, consistency, and reliability of AI systems through high-quality annotated data and clear written feedback.

Prior AI Experience Is Not Required. Key Responsibilities

  • Review and annotate short video and audio clips, accurately labeling content according to project-specific guidelines.
  • Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
  • Evaluate content against established moderation standards and flag uncertain or inappropriate material with a clear rationale.
  • Provide concise written feedback identifying inaccuracies, ambiguities, and potential issues in AI-generated outputs.
  • Maintain accuracy, consistency, and data integrity when processing high volumes of submissions.
  • Follow annotation guidelines and evaluation criteria consistently across assigned tasks.
  • Collaborate remotely with project managers and fellow specialists to clarify requirements and support process improvements.
  • Identify opportunities to improve annotation workflows and share relevant feedback with project stakeholders.
  • Protect project data and comply with confidentiality and data protection requirements.

Required Qualifications

  • Strong attention to detail when reviewing visual and audio content.
  • Ability to accurately label video and audio content according to defined guidelines.
  • Strong command of English, with the ability to communicate findings and feedback clearly in writing.
  • Ability to evaluate content against established criteria and identify inaccuracies or ambiguities.
  • Ability to follow content moderation standards and flag potentially inappropriate or uncertain material.
  • Strong written feedback and documentation skills.
  • Ability to work independently and maintain consistent quality across repetitive tasks.
  • Adaptability when project requirements or annotation guidelines change.
  • Commitment to data confidentiality and responsible handling of sensitive information.
  • Ability to collaborate effectively in a remote working environment.

Preferred Qualifications

  • Experience with video annotation, audio annotation, or multimedia data labeling.
  • Experience with content moderation for digital platforms.
  • Familiarity with guideline-based evaluation and quality assurance practices.
  • Experience reviewing AI-generated content or assessing the accuracy of automated descriptions.
  • Experience identifying process improvements and sharing best practices with remote collaborators.
  • Previous experience with AI training, data annotation, or data labeling projects.

Key Skills

  • Video Annotation
  • Audio Annotation
  • Data Labeling
  • Content Moderation
  • Multimedia Content Review
  • Attention to Detail
  • English Communication
  • Written Feedback
  • Guideline-Based Evaluation
  • Quality Assurance
  • Independent Work
  • Adaptability
  • Process Improvement
  • Data Confidentiality
  • Remote Collaboration

What Success Looks Like

Success in this role means consistently delivering accurate, reliable, and guideline-compliant annotations across video, audio, and other multimedia content.

You will help improve AI system performance by identifying content inaccuracies, evaluating generated descriptions, flagging moderation concerns, and providing clear written feedback while maintaining data quality and confidentiality.

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