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.