[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-generalist-jobs-london-2026":3},{"Ques":4,"Slug":16,"Header":17,"job_category":30},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13],{"A":8,"Q":9},"A Data Generalist at Rex.zone manages critical components of AI\u002FML training pipelines, focusing on data labeling, RLHF evaluation, and prompt evaluation to ensure exceptional training data quality for large language models.","What does a Data Generalist do at Rex.zone?",{"A":11,"Q":12},"Yes, these roles are 100% remote. While the positions are targeted for the London 2026 market, you will work flexibly as a core member of our global AI data operations team.","Are these Data Generalist jobs in London fully remote?",{"A":14,"Q":15},"Essential skills include RLHF, QA evaluation, named entity recognition, content safety labeling, and a proven track record of strict annotation guidelines compliance.","What specific skills are required for LLM training pipelines?","data-generalist-jobs-london-2026",{"desc":18,"title":19,"content":20},"Explore full-time remote Data Generalist jobs in London for 2026 at Rex.zone. Power AI training pipelines through expert data labeling, RLHF evaluation, and quality assurance for large language models.","Data Generalist Jobs London 2026",[21,24,27],{"h2":22,"desc":23},"Data Generalist","Title: Data Generalist\nDate: 25-02-2026\nCompany: Rexzone\nCountry: UK\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Data Labeling, RLHF, Prompt Evaluation, Named Entity Recognition, LLM Training\nSalary Currency: GBP\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nRex.zone is actively recruiting for Data Generalist jobs in London 2026 to scale our advanced AI\u002FML training pipelines. In this full-time remote role, you will define the standard for training data quality through rigorous data labeling and RLHF (Reinforcement Learning from Human Feedback). As AI labs and tech startups demand higher precision, your expertise in QA evaluation and prompt evaluation will directly drive model performance improvement. Whether you are transitioning from freelance NLP annotation or bring senior-level computer vision annotation experience, this role anchors you at the forefront of large language model evaluation.",{"h2":25,"desc":26},"Core Responsibilities in AI\u002FML Training Workflows","Your day-to-day operations will revolve around strict annotation guidelines compliance and complex content safety labeling. You will execute high-fidelity named entity recognition tasks and manage diverse datasets to refine LLM training pipelines. By conducting continuous QA evaluation and collaborating with our global remote engineering teams, you will ensure that all data inputs meet the rigorous standards required for next-generation AI model performance improvement.",{"h2":28,"desc":29},"Required Skills and Qualifications","Ideal candidates for these mid-senior Data Generalist roles possess a deep, practical understanding of AI data operations. You must demonstrate proven success in data labeling, RLHF workflows, and large language model evaluation. Exceptional analytical skills, meticulous attention to detail, and the ability to thrive in a fully remote, full-time environment are critical. Previous experience working with specialized annotation vendors, BPOs, or leading AI tech startups is highly advantageous.","AI Data Operations"]