Discover premium AI Generalist jobs in Zurich for 2026 at Rex.zone. This role is central to advancing LLM training pipelines through expert data labeling, RLHF, and QA evaluation. Whether you are seeking full-time, freelance, or contract remote opportunities, you will drive model performance improvement and ensure training data quality. Join leading tech startups and AI labs to pioneer prompt evaluation, named entity recognition, and content safety labeling in the evolving AI/ML landscape.
Core Responsibilities in LLM Training Pipelines
Your day-to-day operations will bridge the gap between raw data and model performance improvement. By executing complex QA evaluation and content safety labeling, you ensure high-fidelity inputs for reinforcement learning from human feedback (RLHF). You will collaborate with top-tier annotation vendors and BPOs to scale training data quality across diverse NLP and CV projects.
Required Skills For AI Labs And Tech Startups
Ideal candidates possess a deep understanding of AI/ML data operations, from entry-level data annotation to senior-level architectural oversight. You must demonstrate proficiency in named entity recognition, prompt evaluation, and large language model evaluation. Success in these remote roles requires a meticulous approach to data labeling and an unwavering commitment to annotation guidelines compliance.
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