Language Engineer, Artificial General Intelligence - Data Services

This role involves developing and managing complex multimodal datasets for training and evaluating AI models, with a focus on synthetic data generation and data annotation.

• Design data collection efforts
• Analyze large datasets
• Build data analysis tools
• Collaborate with scientists
• Ensure data quality

The environment includes data collection, synthetic data generation, data analysis, and annotation systems, primarily using Python and related tools for multimodal and speech/text data.

The ideal candidate is a mid-level AI or NLP professional with 2+ years experience in language data processing, data collection, and annotation, proficient in Python, and with a strong background in computational linguistics or AI data creation. They should be collaborative, detail-oriented, and capable of handling complex multimodal datasets.