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

<div><span data-contrast="auto">We are seeking a </span><strong><span data-contrast="auto">Prompt Engineer</span></strong><span data-contrast="auto">&nbsp;to&nbsp;be responsible for&nbsp;the end-to-end technical migration workflow for transitioning templates to LLM autoraters.&nbsp;The role is&nbsp;required&nbsp;to use client’s internal tools to&nbsp;leverage&nbsp;prompt engineering techniques to maximize model performance.</span><span data-ccp-props="{}">&nbsp;</span></div> Responsibilities:  • 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. • Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.   • Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.   • Draft technical 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, or a 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: Strong proficiency in identifying error 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 employment. To know more details (Click here)