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AI Generalist

Remote / Online - Candidates ideally in
Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for: RemoExperts
Full Time, Remote/Work from Home position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling, AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Full Time AI Generalist

Discover premier full-time AI Generalist jobs in the UK for 2026 e. As an AI Generalist, you will drive large language model evaluation, RLHF (Reinforcement Learning from Human Feedback), and training data quality across diverse domains. This remote role involves complex prompt evaluation, NLP data labeling, and comprehensive QA evaluation to improve model performance. Whether you are transitioning from tech startups or AI labs, Rex.zone

offers unparalleled opportunities to shape the future of LLM training pipelines.

Core Responsibilities in LLM Training Pipelines

As a vital part of our AI data operations, your responsibilities span multiple disciplines. You will conduct rigorous QA evaluation on AI-generated responses, perform content safety labeling, and execute computer vision annotation when multimodal data is required. By focusing on model performance improvement, you will directly influence how next-generation AI systems understand and interact with human prompts. This full-time remote position requires a deep understanding of NLP and the ability to adapt to evolving AI lab requirements.

Requirements

for AI Generalist Roles

To succeed in these full-time AI Generalist jobs in the UK, candidates must possess a strong background in data labeling and AI/ML workflows. We seek mid-senior professionals with proven experience in RLHF, prompt engineering, and LLM training pipelines. You must demonstrate exceptional analytical skills for complex QA evaluation and a meticulous approach to annotation guidelines compliance. Previous experience working remotely for AI labs, tech startups, or annotation vendors is highly preferred.

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