Data Generalist
- Hiring from
- Netherlands, United Kingdom
- Work type
- Remote
- Posted
- Sep 24, 2026
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Discover full-time remote Data Generalist jobs in Amsterdam for 2026. Join Rex.zone to power AI training pipelines through expert data labeling, RLHF evaluation, and comprehensive QA evaluation for large language models.
Key Responsibilities in AI/ML Training Pipelines
As a Data Generalist at Rex.zone, you will manage complex data operations for leading AI labs and tech startups. Your daily tasks include overseeing RLHF (Reinforcement Learning from Human Feedback), ensuring strict annotation guidelines compliance, and conducting content safety labeling. You will execute computer vision annotation and NLP tasks, guaranteeing top-tier training data quality across our global remote teams.
Qualifications For Senior Data Generalists
Candidates must possess strong foundational skills in SQL, Python, and data pipeline architecture. Deep experience with QA evaluation, named entity recognition, and LLM training pipelines is essential. Whether your background is with BPOs, annotation vendors, or AI startups, your ability to ensure high-quality data labeling and model performance improvement will make you a perfect fit for this remote engineering role.
Key Responsibilities in AI/ML Training Pipelines
As a Data Generalist at Rex.zone, you will manage complex data operations for leading AI labs and tech startups. Your daily tasks include overseeing RLHF (Reinforcement Learning from Human Feedback), ensuring strict annotation guidelines compliance, and conducting content safety labeling. You will execute computer vision annotation and NLP tasks, guaranteeing top-tier training data quality across our global remote teams.
Qualifications For Senior Data Generalists
Candidates must possess strong foundational skills in SQL, Python, and data pipeline architecture. Deep experience with QA evaluation, named entity recognition, and LLM training pipelines is essential. Whether your background is with BPOs, annotation vendors, or AI startups, your ability to ensure high-quality data labeling and model performance improvement will make you a perfect fit for this remote engineering role.