Video Data Annotator

Cashback24x7; India; Remote; INR 17,000 - 28,000; Full time

Job summary

Cashback24x7 is seeking a Video Data Annotator to support AI training through precise labeling of video and audio content on a remote basis. This contractor role emphasizes accuracy, adherence to guidelines, and timely submissions to help improve model performance.

Candidates should have demonstrated experience in video/audio annotation or content moderation, excellent attention to detail, and the ability to work independently with minimal supervision while collaborating with project managers.

Qualifications

• Demonstrated experience with video and audio annotation or content moderation for digital platforms.
• Strong command of English, with the ability to communicate feedback clearly in written form.
• Excellent attention to visual and audio detail, delivering high-accuracy data annotation.
• Experience working independently and adapting quickly to changing project requirements or guidelines.
• Familiarity with guideline-based evaluation and quality assurance practices.

Responsibilities

• Review and annotate short video and audio clips, labeling content accurately based on project-specific guidelines.
• Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
• Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.
• Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.
• Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.
• Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.
• Safeguard all project data, adhering strictly to confidentiality and data protection standards.

Skills

Video annotation

Content moderation

English proficiency

Independent work

Guideline adherence

Job description

Job Description

Role Title: Video Data Annotator

Role Type: Contractor

Location: Remote

micro1 is engaging Video Data Annotators to contribute expertise and precision to a customer’s project focused on the advancement of artificial intelligence. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Review and annotate short video and audio clips, labeling content accurately based on project-specific guidelines.
• Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
• Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.
• Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.
• Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.
• Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.
• Safeguard all project data, adhering strictly to confidentiality and data protection standards.

Preferred Qualifications

• Demonstrated experience with video and audio annotation, content labeling, or content moderation for digital platforms.
• Strong command of English, with the ability to communicate feedback and findings clearly in written form.
• Excellent attention to visual and audio detail, with a track record of delivering high-accuracy data annotation.
• Experience working independently and adapting quickly to changing project requirements or guidelines.
• Familiarity with guideline-based evaluation and quality assurance practices.
• Proactive approach to identifying process improvements and sharing best practices with remote collaborators.
• Commitment to maintaining data confidentiality and ethical handling of sensitive information.