Explore remote AI Generalist jobs in Turin 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. This full-time remote role involves prompt evaluation, named entity recognition, and annotation guidelines compliance to improve model performance. Whether you are an expert in NLP, computer vision annotation, or content safety labeling, join our tech startup environment to shape the future of AI/ML training pipelines. Discover contract, freelance, and full-time opportunities tailored for mid-senior engineering professionals.
Title: AI Generalist Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: AI/ML, RLHF, Large Language Model Evaluation, Data Labeling, Prompt Engineering, NLP Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As an AI Generalist, your primary focus will be on model performance improvement through rigorous data labeling and QA evaluation. You will execute RLHF workflows, ensuring high-quality human feedback for large language models. Daily tasks include prompt evaluation, content safety labeling, and maintaining strict annotation guidelines compliance. You will collaborate with AI labs and annotation vendors to refine NLP and computer vision annotation processes.
Candidates must possess mid-senior level experience in AI/ML data operations. Essential skills include expertise in named entity recognition, LLM training pipelines, and data annotation workflows. We welcome applicants with backgrounds in tech startups or BPOs who have a proven track record of delivering high training data quality. Strong analytical skills and the ability to adapt to evolving AI evaluation metrics are crucial for this remote engineering role.
The primary focus is on advancing AI/ML training pipelines through RLHF, data labeling, and large language model evaluation. Professionals at Rex.zone ensure training data quality and annotation guidelines compliance.
Yes, these are full-time remote roles. While targeting the Turin 2026 talent market, the positions offer global flexibility, allowing you to work remotely as part of our distributed engineering team.
You need a strong foundation in NLP, content safety labeling, and named entity recognition. Experience with LLM training pipelines and a keen eye for model performance improvement are essential.
The salary ranges from 63360 to 126720 USD per year, depending on your experience in computer vision annotation, RLHF, and overall AI data operations.
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