Project Lion - Prompt Engineer - United States (Remote, Part-Time)

We are seeking aPrompt Engineer tobe responsible forthe end-to-end technical migration workflow for transitioning templates to LLMautoraters.The role isrequiredto use client’s internal tools toleverageprompt engineering techniques to maximize model performance.Responsibilities:UtilizeAutomatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.Run and superviseAutomatedPrompt Optimization (APO) tool,review the outputs, and flag when the APO reaches deadlocks or plateaus.Manuallydraft, test, and refineprompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.Monitorshadowbotruns to ensure sufficient disagreements(between human and LLM ratings) are registered, generated, and tracked.Runprompt versions against establishedgold datato continuously measureautoraterquality against the human crowd baseline, calculatingaccuracymetrics such as F1 scores, precision, and recall.Drafttechnical launch readiness justifications (Launch Certification Documentation) for final.Requirement:Language Skills: Native fluency in English.Location: Must be based in United States.Education: Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, ora relatedanalytical field.Prompt Engineering & AI Expertise: At least 2 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs)for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.Data Analysis: Strongproficiencyinidentifyingerror patterns, analyzing model performance, and using SQL or other data analytics tools.Technical Agility: Ability to quickly learn and master proprietary tools with minimal supervision.Communication: Excellent verbal and written communication skills.Optional / Preferred Skills:Familiarity with enterprise-grade LLM interfaces like the Goose API.Experience in AI model evaluation, data science, computational linguistics, or software engineering.Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.Linguistic expertise, including an understanding of semantics and logic.Federal Law Compliance In compliance with federal law, all persons hired will be required to:- Verify identity and eligibility to work in the United States; and- Complete a required employment eligibility verification form.Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employmentTo know more details (Click here)#J-18808-Ljbffr