Data Generalist

Explore full-time remote Data Generalist jobs in London for 2026 e. Power AI training pipelines through expert data labeling, RLHF evaluation, and quality assurance for large language models.

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.

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.