Remote NLP & Prompt Engineering Jobs

RemoteAI curates remote NLP and prompt engineering opportunities for professionals working with large language models and AI-powered products. This collection spans roles focused on building and optimizing LLM applications, retrieval-augmented generation (RAG) systems, prompt design, and AI product workflows.

Professionals browsing this page will find positions that involve designing prompts and system instructions, evaluating model outputs, fine-tuning or adapting models, integrating LLMs into production products, and building retrieval pipelines that ground model responses in domain data. Common responsibilities include prompt testing and iteration, measuring quality and safety metrics, collaborating with engineering and product teams, and translating business requirements into reliable AI behavior.

Because the page aggregates listings from multiple employers, specific duties, seniority levels, and compensation vary by posting. Many roles are fully remote and may involve work on conversational AI, search and knowledge systems, content generation, customer support automation, or internal AI tooling.

Job seekers can use this hub to compare opportunities across industries and apply directly through the listed postings. The page is updated as new remote positions are published, making it a useful resource for engineers, researchers, and product-minded practitioners looking to specialize in natural language processing and prompt engineering.

• Experience with natural language processing, large language models, or prompt engineering
• Proficiency in Python and common ML/NLP libraries and frameworks
• Familiarity with RAG architectures, embeddings, and vector databases
• Understanding of LLM evaluation, quality testing, and safety practices
• Strong communication skills for cross-functional collaboration
• Ability to work remotely; relevant degree or equivalent practical experience