Remote Video Data Annotator for AI Training & Quality

Gramian Consulting Group; México; Remote; MXN 167,000 - 279,000; Full time

Job summary

Gramian Consultancy is seeking detail-oriented Video Data Annotators to support training and evaluation of AI systems. You will review video and audio clips, label multimedia content, and assess AI-generated descriptions.

Strong written English, meticulous attention to detail, and the ability to work remotely are essential. You will follow project guidelines and maintain confidentiality while delivering clear, concise feedback to improve data quality.

Qualifications

• Proficient in documenting observations clearly.
• Able to review video and audio clips accurately.
• Skilled in applying project guidelines consistently.
• Capable of identifying inaccuracies in outputs.
• Familiar with confidentiality and data handling rules.

Responsibilities

• Review and annotate short video and audio clips according to project-specific guidelines.
• Evaluate AI-generated descriptions for accuracy, relevance, and appropriateness.
• Assess multimedia content against moderation standards and flag uncertain material with explanations.
• Identify inaccuracies and inconsistencies in AI outputs.
• Provide concise written feedback to support AI improvements.
• Maintain high annotation accuracy across large volumes.
• Collaborate remotely with project managers to clarify guidelines and improve workflows.
• Follow confidentiality and data protection requirements.

Skills

Strong written English

Attention to detail

Follow instructions

Analytical thinking

Independent remote work

Confidentiality ethics

Job description

Gramian Consultancy is seeking detail-oriented Video Data Annotators to support training and evaluation of AI systems. You will review video and audio clips, label multimedia content, and assess AI-generated descriptions.

Strong written English, meticulous attention to detail, and the ability to work remotely are essential. You will follow project guidelines and maintain confidentiality while delivering clear, concise feedback to improve data quality.