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qa ai ml annotation datasets📋 Description
- Review annotated data to ensure quality and policy compliance, prioritizing by business needs
- Deliver high-quality, timely results for Product and Engineering using QA frameworks and metrics
- Handle complex edge cases, helping define ground truth and reduce ambiguity across datasets
- Identify patterns and insights; communicate findings to technical and non-technical partners
- Contribute to feedback loops with annotation teams, R&D, and policy experts to improve workflows
- Help develop and refine annotation guidelines, supporting annotator training and continuous improvement
🎯 Requirements
- Experience with annotation, data quality, or QA in ML/AI environments
- Familiar with LLM/AI-driven annotation workflows and human-in-the-loop
- Comfort reviewing large-scale datasets across text, audio, images, or video
- Care about quality and consistency; bring a structured evaluation approach
- Communicate clearly and explain complex ideas simply
- Collaborate with cross-functional partners in fast-moving environments
🎁 Benefits
- Flexible hybrid work with some in-person meetings
- Based in London or Stockholm with collaboration across teams
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