About The Role

Rex.zone is hiring Mid-Senior Remote Data Annotators to create and validate high-quality training datasets used to train and evaluate AI/ML systems. You will work across text, image, and multi-modal workflows, applying consistent rubric-based decisions and clear documentation to support measurable model performance improvement.

What You Will Do

Label and review datasets for NLP and computer vision annotation (e.g., named entity recognition, classification, bounding boxes/segmentation)
Perform RLHF evaluation and prompt evaluation by scoring and ranking model outputs against guidelines
Complete QA evaluation checks (audit sampling, calibration, disagreement resolution) and maintain annotation guidelines compliance
Support content safety labeling using policy-based categorization and safety rubrics
Collaborate asynchronously with project leads to meet throughput, accuracy, and auditability requirements in LLM training pipelines

Required Qualifications

Mid-Senior experience in data annotation/data labeling, QA evaluation, or LLM evaluation workflows
Strong attention to detail and ability to handle ambiguous cases with consistent reasoning
Excellent written communication for documenting edge cases and rationales
Comfort with annotation tools and spreadsheet-style review interfaces

How To Apply

Visit Rex.zone and search for “Remote Data Annotator Jobs in Berlin” to find active assignments and submit your application.

Remote Data Annotator Jobs in Berlin

Remote Data Annotator Jobs in Berlin

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