AI Data Associate with Dutch, Artificial General Intelligence

Overview

As an ML Data Associate, you will support foundational labeling across speech, text, image, and video data to improve Alexa and related AI systems. You collaborate with cross-functional teams, maintain confidentiality, and ensure high-quality annotations aligned with KPIs. You act as a SME for ML data workflows, shaping data processes and solving labeling quality issues. This role offers hands-on work with diverse data and a path to impact in a cutting-edge AI program.

Responsibilities

• Maintain strict confidentiality and handle sensitive data per policy
• Label data across text, speech, image, and video using guidelines and in-house tools
• Serve as SME for ML data workflows and annotation quality (text, speech, image, video)
• Make logical decisions under ambiguity while executing tasks
• Demonstrate attention to detail and adaptability across categories
• Support daily operational metrics (AHT, quality, TAT) for multiple task types
• Own end-to-end data labeling processes with minimal reliance on explicit instructions
• Contribute to root cause analysis, identify error patterns, and suggest quality improvements
• Identify and propose changes to SOPs, tools, and processes to unblock operations
• Provide floor support to clarify internal queries during execution

Key requirements

• Associate degree or above
• Fluent in Dutch (read/write/speak)
• Fluent in English (read/write/speak)
• Experience writing business strategy documents and plans
• Ability to read and analyze complex business documents
• Ability to interpret and implement detailed instructions across projects
• Experience researching, gathering, and synthesizing information from multiple sources
• Preferred: Bachelors degree or above
• Preferred: 1+ years of project management or project coordination experience
• Preferred: experience managing stakeholder relationships across departments
• eye for detail
• ability to switch between categories quickly
• ownership and accountability
• in-house tools and software
• Microsoft Office (advanced)
• experience using open-source resources for research

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