Senior AI Generalist — LLM Training & Evaluation
- Hiring from
- Belgium
- Work type
- Remote
- Posted
- Sep 23, 2026
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Explore remote and hybrid AI Generalist jobs in Brussels for 2026 at Rex.zone. 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 full-time role bridges the gap between complex AI/ML training pipelines and human-in-the-loop QA evaluation. Whether you specialize in NLP, computer vision annotation, or prompt evaluation, your expertise will directly impact model performance improvement. Join leading AI labs, annotation vendors, and tech startups by applying for these cutting-edge data labeling and AI evaluation positions today.
Remote AI Generalist — NLP & Computer Vision
Date: 25-02-2026
Company: Rexzone
Country: BE
Remote Type: Remote
Employment Type: FULL_TIME
Experience Level: Mid-Senior
Industry: Technology
Job Function: Engineering
Skills: AI Generalist, NLP, Computer Vision Annotation, Content Safety Labeling, Machine Learning, Data Annotation
Salary Currency: USD
Salary Min: 63360
Salary Max: 126720
Pay Period: YEAR
We are hiring a Remote AI Generalist to manage multimodal data labeling tasks, including computer vision annotation and NLP dataset curation. You will execute QA evaluation on complex datasets, ensuring strict adherence to annotation guidelines compliance. By providing high-quality human feedback, you will directly contribute to large language model evaluation and the continuous refinement of AI training pipelines.
Remote AI Generalist — NLP & Computer Vision
Date: 25-02-2026
Company: Rexzone
Country: BE
Remote Type: Remote
Employment Type: FULL_TIME
Experience Level: Mid-Senior
Industry: Technology
Job Function: Engineering
Skills: AI Generalist, NLP, Computer Vision Annotation, Content Safety Labeling, Machine Learning, Data Annotation
Salary Currency: USD
Salary Min: 63360
Salary Max: 126720
Pay Period: YEAR
We are hiring a Remote AI Generalist to manage multimodal data labeling tasks, including computer vision annotation and NLP dataset curation. You will execute QA evaluation on complex datasets, ensuring strict adherence to annotation guidelines compliance. By providing high-quality human feedback, you will directly contribute to large language model evaluation and the continuous refinement of AI training pipelines.