Video Data Annotation Specialist - AI Training

About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

We are looking for detail-oriented Video Data Annotators to support the training and evaluation of next-generation AI systems. You will review short video and audio clips, label multimedia content, assess AI-generated descriptions, and evaluate content against established moderation guidelines. Your work will help improve AI accuracy, content understanding, and output quality. Prior AI experience is not required.

Key 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 established moderation standards and flag potentially inappropriate or uncertain material with clear explanations.

• Identify inaccuracies, ambiguities, and inconsistencies in AI-generated outputs.

• Provide concise written feedback to support improvements in AI performance and data quality.

• Maintain high levels of annotation accuracy and consistency across large volumes of submissions.

• Collaborate remotely with project managers and team members to clarify guidelines and improve workflows.

• Follow confidentiality, data protection, and responsible data-handling requirements.

Requirements

• Strong written English skills and the ability to communicate findings clearly.

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

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

• Strong analytical skills and sound judgment when identifying inaccuracies or ambiguous content.

• Ability to work independently in a remote environment and adapt to changing project requirements.

• Commitment to data confidentiality and ethical handling of sensitive information.