AI Multimodal Dataset Engineer vs AI Product Analytics Specialist

A AI Multimodal Dataset Engineer Only

• Multimodal data schema design (text-image-audio-video alignment and cross-referencing)
• Large-scale data pipeline engineering with Apache Beam, Spark, or Dask
• Data quality assurance: automated metrics (perplexity filters, CLIP score thresholds, deduplication) and human-in-the-loop workflows
• Version control and provenance tracking for datasets (DVC, LakeFS, Delta Lake)
• Cloud storage architecture and cost optimization (S3, GCS, Azure Blob, Parquet/ORC formats)
• Annotation platform design and management (labeling taxonomies, inter-annotator agreement, active learning loops)
• Bias detection and fairness auditing across modalities and demographic dimensions
• Synthetic data generation using generative models (diffusion models, LLMs, TTS systems)