[Hiring] Video Annotation Specialist @the Project

Role Description

We are seeking Video Annotation Specialists to support an AI training project focused on video and audio analysis. In this remote contractor role, you will review short video and audio clips, assess visual and auditory content, evaluate AI-generated descriptions, and provide structured feedback based on established guidelines. Your work will contribute to the development and evaluation of next-generation AI systems by helping ensure that training and evaluation data is accurate, consistent, and high quality.

Key Responsibilities

• Review short video and audio clips, carefully assessing both visual and auditory elements.
• Perform detailed annotation and evaluation of video and audio content according to project-specific guidelines.
• Evaluate the accuracy of AI-generated descriptions and verify their alignment with the underlying content.
• Identify inaccuracies, inconsistencies, ambiguities, and other issues within reviewed content.
• Provide clear, concise, and actionable written feedback.
• Apply consistent and objective judgment when labeling and evaluating content.
• Follow established annotation guidelines, quality standards, and project protocols.
• Flag content that does not meet specified standards or requires further clarification.
• Escalate uncertain or complex cases to project leads when appropriate.
• Maintain a high level of annotation accuracy and consistency across assigned tasks.
• Collaborate with project coordinators to support annotation quality and data integrity.
• Contribute suggestions for improving annotation workflows and quality assurance processes.
• Maintain confidentiality when handling project and customer data.
• Work independently and reliably within a remote project environment.

Qualifications

• Experience in data annotation, data labeling, content moderation, content review, or quality assurance.
• Experience working with video or audio data is advantageous.
• Strong English communication skills, with the ability to provide detailed written and verbal feedback.
• Excellent attention to detail and the ability to identify subtle inaccuracies or inconsistencies.
• Strong analytical and objective judgment when applying predefined guidelines.
• Familiarity with generalist training, content review, or guideline-based evaluation is advantageous.
• Ability to perform repetitive review and annotation tasks while maintaining consistent quality.
• Comfortable working independently in a remote environment.
• Ability to quickly learn new annotation tools, workflows, protocols, and quality standards.
• Reliable approach to meeting project requirements and maintaining quality.
• Commitment to data confidentiality and accuracy throughout the engagement.

Requirements

• Video annotation
• Audio annotation
• Data annotation
• Data labeling
• Content moderation
• Content review
• AI training data
• Video analysis
• Audio analysis
• Quality assurance
• Attention to detail
• English communication
• Written feedback
• Guideline-based evaluation
• Objective judgment
• Independent work
• Remote collaboration
• Adaptability
• Process improvement
• Data confidentiality

Work Arrangement

• Role: Video Annotation Specialist
• Employment type: Contractor
• Location: Remote
• Compensation: $8–$10/hour
• Annualized compensation: $16,640–$20,800/year based on 2,080 hours
• AI experience: Not required

Ideal Candidate Profile

• Data annotation and data labeling
• AI training or AI evaluation
• Video or audio review
• Content moderation
• Content quality assurance
• Media analysis
• Guideline-based content evaluation
• Remote quality control
• Generalist training and evaluation
• Structured content review

About the Project

This role supports an AI training and evaluation project where high-quality human review helps improve how AI systems learn from real-world video and audio content. Successful candidates should be comfortable working with detailed guidelines, making consistent and objective judgments, documenting issues clearly, and maintaining a high standard of accuracy throughout the engagement.