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Artistic Media Analyst
7 days ago
ARTBAT LIVE LIMITED is a cutting-edge organization pushing the boundaries of AI-driven talent search platforms. Our team is passionate about harnessing the power of multimedia analysis to revolutionize the way we discover and nurture creative talent.
Job Description
We are seeking a highly motivated Junior Research Associate with a Bachelor's degree in Computer Graphics, Creative Technology, Digital Media, or a related field that blends technical and artistic expertise. As a key member of our research team, you will be responsible for exploring advanced methods for analyzing and categorizing diverse multimedia content—encompassing images, 3D models, videos, and animations—to enhance our AI-driven talent search platform. Your responsibilities will involve conducting research on data preparation, annotation, and preprocessing techniques, as well as experimenting with tools commonly used in creative workflows (e.g., Blender, Adobe Creative Suite). This role will help expand our AI models' capabilities to recognize and interpret artistic styles across multiple media formats.
Key Responsibilities:
- Data Acquisition & Preparation: Identify and collect multimedia datasets (images, 3D models, videos, animations) for research and training. Contribute to workflows that convert various media formats into machine learning-ready data. Apply and research preprocessing methods—such as feature extraction, normalization, and format conversion—to enhance data quality and model performance.
- Annotation & Labeling Research: Investigate annotation methodologies for stylistic and categorical labeling of multimedia content. Ensure labeling consistency to produce reliable training data and support accurate model outcomes. Research semi-automated or AI-assisted labeling approaches to improve annotation efficiency and precision.
- Data Validation & Quality Control: Participate in research efforts to establish validation protocols, ensuring data integrity and uniformity. Detect and resolve anomalies or inconsistencies that may affect model reliability.
- Research & Development: Engage in ongoing research activities to discover new techniques, frameworks, and tools for handling various media types—potentially leveraging creative software like Blender, Adobe Creative Suite, or other relevant platforms. Experiment with and evaluate preprocessing and annotation strategies to enhance the model's ability to recognize and categorize diverse artistic styles. Stay informed about research trends in multimedia machine learning, integrating findings to refine internal methodologies.
