At a Glance
- Tasks: Label diverse data types to enhance AI systems like Alexa and improve user experience.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to shape data processes and improve quality.
- Why this job: Be part of a cutting-edge AI programme and make a real impact.
- Qualifications: Fluent in Dutch and English, with strong attention to detail and adaptability.
The predicted salary is between 27000 - 33000 £ per year.
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: Bachelor's 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
AI Data Associate with Dutch, Artificial General Intelligence in London employer: Evi Technologies
At Amazon S3 Tables, we pride ourselves on being an exceptional employer that fosters innovation and personal growth in a dynamic work environment. Our commitment to work-life balance, inclusive culture, and continuous learning ensures that every team member can thrive while contributing to groundbreaking projects that shape the future of cloud storage. Join us in a role where your contributions will not only impact our customers but also drive your professional development in one of the most exciting tech hubs in the world.
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We think this is how you could land AI Data Associate with Dutch, Artificial General Intelligence in London
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We think you need these skills to ace AI Data Associate with Dutch, Artificial General Intelligence in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
