Video Data Annotator

Employment Type: Contractor
Work Arrangement: Remote

Compensation

Hourly Rate: $8–$10 per hour

Annualized Full-Time Equivalent: $15,360–$19,200 per year

The annualized figure is based on 40 hours per week and 48 working weeks per year. Actual earnings depend on project availability, tasks completed, and hours worked.

About the Role

We are seeking detail-oriented Video Data Annotators to review and label video and audio content for AI development projects.

You will annotate multimedia clips according to project-specific guidelines, evaluate AI-generated descriptions, assess content against moderation standards, and provide clear written feedback on inaccuracies or ambiguous outputs.

This role requires strong attention to visual and audio detail, consistent application of evaluation guidelines, and the ability to maintain accuracy when handling high volumes of data. Previous AI experience is not required.

Key Responsibilities

Video & Audio Annotation

• Review and annotate short video and audio clips according to project-specific guidelines.

• Label multimedia content accurately and consistently.

• Evaluate AI-generated descriptions for accuracy and appropriateness.

• Identify unclear, inaccurate, or ambiguous descriptions and document relevant findings.

• Maintain high annotation quality across large volumes of submissions.

Content Evaluation & Moderation

• Assess multimedia content against established moderation standards.

• Flag potentially inappropriate or uncertain material and provide a clear rationale.

• Apply evaluation guidelines consistently when reviewing content.

• Provide concise written feedback highlighting inaccuracies, ambiguities, and quality issues.

Quality Assurance & Documentation

• Verify annotation accuracy and consistency.

• Maintain data integrity throughout the review and labeling process.

• Document findings clearly to support quality evaluation and project requirements.

• Identify opportunities to improve annotation processes and share relevant recommendations.

Remote Collaboration & Data Confidentiality

• Collaborate remotely with project managers and other specialists to clarify guidelines.

• Adapt to changing project requirements and annotation procedures.

• Follow data protection and confidentiality requirements when handling project materials.

• Work independently while meeting established quality standards.

Required Qualifications

• Strong attention to detail when reviewing visual and audio content.

• Ability to follow detailed instructions and apply evaluation guidelines consistently.

• Strong English communication skills, particularly written feedback.

• Ability to identify inaccuracies, ambiguities, and inappropriate content.

• Capacity to work independently in a remote environment.

• Adaptability when project guidelines or requirements change.

• Commitment to maintaining data confidentiality and handling sensitive information responsibly.

Preferred Qualifications

• Experience with video annotation, audio annotation, or multimedia data labeling.

• Background in content moderation for digital platforms.

• Experience evaluating AI-generated descriptions or other AI outputs.

• Familiarity with guideline-based evaluation and quality assurance practices.

• Experience identifying process improvements and sharing best practices with remote teams.

Key Skills

• Video Annotation

• Audio Annotation

• Data Labeling

• Content Moderation

• Multimedia Review

• AI Output Evaluation

• Guideline-Based Evaluation

• Quality Assurance

• Attention to Detail

• English Communication

• Written Feedback

• Data Integrity

• Independent Work

• Adaptability

• Process Improvement

• Data Confidentiality

• Remote Collaboration

Work Environment

This is a remote, hourly contract opportunity focused on multimedia annotation and content evaluation for AI development.

You will review video and audio clips, apply project-specific labeling guidelines, assess AI-generated descriptions, and document findings. Consistency, accuracy, confidentiality, and adherence to instructions are essential.

What Success Looks Like

Success means delivering accurate, consistent annotations; identifying content and description errors; applying moderation guidelines reliably; and providing clear, actionable feedback.

Your work should maintain high data quality, support reliable AI evaluation, and meet project confidentiality and documentation standards.