AI Data Associate - Dutch, Artificial General Intelligence
Evi Technologies
Overview
In this ML Data Associate role, you will support foundational labeling for diverse data types to enhance Alexa’s performance. You work within a privacy-conscious, cross-functional team to deliver high-quality labeled data and maintain rigorous standards. You will act as a subject matter expert on ML data workflows, researching and producing accurate annotations across text, speech, image, and video. You help improve processes and quality at scale with ownership and attention to detail.
Responsibilities- Maintain confidentiality and handle sensitive data
- Label data across text, speech, image, and video to meet KPIs using in-house tools
- Serve as ML data workflows SME and ensure accurate, grammatically correct responses and annotations
- Make logical decisions under ambiguity and pivot between requirements
- Ensure adherence to daily operational KPIs (AHT, quality, TAT) for multiple task types
- Own end-to-end data execution for labeling tasks with minimal instruction
- Contribute to root cause analysis and identify error patterns and solutions to improve labeling quality
- Identify and suggest changes to SOPs, tools, and processes to unblock operations
- Provide floor support to clarify internal queries during execution
- Dutch fluency (speaking, writing, reading)
- Associate’s Degree or related work experience
- English proficiency (CEFR C1+)
- Strong business writing, report and proposal creation
- Advanced reading comprehension and analytical thinking
- Structured problem-solving and ability to implement detailed instructions
- Proven research skills and information synthesis
- Attention to detail in handling complex tasks and documents
- Proven experience with task execution and stakeholder coordination (preferred)
- Proficiency in Microsoft Office Suite (and common business apps)
- Ability to adapt in fast-paced environments (preferred)
- attention to detail
- analytical thinking
- structured problem-solving
- ML data workflows
- data labeling across multiple modalities (text, speech, image, video)
- research and information synthesis
Reference: WJ-747_31197681