Project Lion - Prompt Engineer Remote, Part-Time

We are seeking a Prompt 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.

• Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
• Run and supervise
  
  Automated
  
  Prompt Optimization (APO) tool,review the outputs, and flag when the APO reaches deadlocks or plateaus.
• Manually draft, test, and refine prompts 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 established gold datato continuously measureautoraterquality against the human crowd baseline, calculatingaccuracymetrics such as F1 scores, precision, and recall.
• Draft technical launch readiness justifications (Launch Certification Documentation) for final.

• 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 related analytical 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.

• 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.

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 employment

To know more details ()