The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining confidentiality, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to enhance labeling quality and operational processes. The position requires C1+ French fluency and B2+ English proficiency, with a focus on analytical thinking, attention to detail, and structured problem-solving.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

This role involves performing quality audits and manual reviews of data processed by Data Associates to ensure high standards for AI development and training. It requires coaching Data Associates, identifying root causes of quality issues, and validating automated quality measurement systems. The role emphasizes attention to detail, analytical skills, and compliance with quality standards.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

The AI Data Associate role focuses on foundational labeling tasks for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining data quality, analyzing root causes of errors, and suggesting process improvements, all while adhering to strict confidentiality and Amazon's policies for responsible AI development.

This role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLMs, focusing on quality, accuracy, and confidentiality. The associate will use in-house tools, analyze data patterns, identify process improvements, and provide floor support. The goal is to contribute to Amazon's responsible AI development.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, image, and video data. The associate will maintain confidentiality, deliver high-quality labeled data using in-house tools, analyze root causes of errors, and propose solutions to enhance labeling quality and operational processes. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions.