Discover top-tier remote Data Generalist jobs in the Netherlands for 2026 at Rex.zone. As a data generalist, you will power AI training pipelines through comprehensive data labeling, RLHF (Reinforcement Learning from Human Feedback), and QA evaluation for large language models. Whether you are seeking full-time, contract, or freelance opportunities, our platform connects you with cutting-edge AI labs and tech startups. Enhance model performance improvement, ensure annotation guidelines compliance, and drive the future of NLP and computer vision annotation. Apply today to shape the next generation of AI systems.
Title: Data Generalist Date: 25-02-2026 Company: Rexzone Country: Netherlands Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Data Labeling, RLHF, LLM Training Pipelines, QA Evaluation, Prompt Evaluation, Named Entity Recognition Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As a Data Generalist based in the Netherlands, you will play a critical role in advancing AI/ML capabilities. Your daily workflows will involve content safety labeling, prompt evaluation, and named entity recognition to support LLM training pipelines. By providing high-quality human feedback, you directly contribute to model performance improvement and ensure strict annotation guidelines compliance across diverse datasets.
Rex.zone offers unparalleled flexibility with remote, freelance, and full-time positions tailored for both entry-level and senior data professionals. By partnering with leading AI labs, tech startups, and annotation vendors, we provide consistent opportunities in NLP, computer vision, and generative AI evaluation. Secure your future in the rapidly growing AI data operations sector.
A Data Generalist handles diverse data operations, including data labeling, RLHF, and QA evaluation, to ensure high training data quality for large language models and computer vision systems.
Yes, these 2026 roles at Rex.zone are fully remote, allowing professionals in the Netherlands to work seamlessly with global AI labs and tech startups.
Key skills include expertise in prompt evaluation, named entity recognition, content safety labeling, and a deep understanding of LLM training pipelines and annotation guidelines compliance.
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