9 Prompt Engineer jobs in United States available for remote work from home. Apply for positions such as Prompt Engineer, Jr. AI Prompt Engineer, Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role focuses on prototyping, testing, and validating AI solutions and prompt strategies to improve operational efficiency. It involves collaborating with cross-functional teams to build proofs of concept and providing training on AI capabilities and limitations.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Lead a team in migrating templates to LLM autoraters using advanced prompt engineering and optimization tools. Oversee the creation, testing, and refinement of prompts while monitoring model performance against human baselines.
The role involves managing the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Responsibilities include drafting manual prompts for edge cases, monitoring shadowbot runs, and calculating accuracy metrics against human baselines.
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Gather and document business requirements for AI-driven initiatives and enterprise operations. Collaborate with cross-functional teams to define workflows, manage AI agent lifecycles, and ensure adherence to AI governance and privacy standards.
The Lead Prompt Engineer will manage the end-to-end technical migration workflow from human-rated templates to automated LLM systems while guiding a team through complex template clusters and optimization strategies. This role includes certifying launch readiness by verifying accuracy metrics like F1 scores, precision, and recall against gold data.
The primary mission is to lead the technical migration of template workflows into high-performance LLM autoraters, ensuring automated quality meets or exceeds human baselines. This involves utilizing Automatic Prompt Generation (APG) and supervising Automated Prompt Optimization (APO) tools for continuous performance improvement.
The role involves leading the end-to-end migration of template workflows into high-performance Large Language Model (LLM) autoraters, requiring the use of advanced tools and manual refinement to meet accuracy baselines. Responsibilities include supervising Automated Prompt Optimization (APO) tools, measuring quality against gold data using metrics like precision and recall, and designing manual prompts for complex edge cases.
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