About the Role
Are you an expert at navigating the complex architecture of Large Language Models? Welo Data is seeking a Senior Prompt Engineer to lead the technical migration of template workflows into high-performance LLM autoraters.
This role is designed for a technical specialist who understands that "perfecting a prompt" is a rigorous engineering discipline. You will leverage advanced APG/APO tools and manual refinement to ensure our automated systems meet—and exceed—human crowd baselines in accuracy and nuance.
🚀 The Mission: Automated Quality at ScaleArchitectural Migration: Take full ownership of the end-to-end technical migration of templates to LLM autoraters.Optimization Leadership: Utilize Automatic Prompt Generation (APG) and supervise Automated Prompt Optimization (APO) tools to push model performance past plateaus and deadlocks.Metrics-Driven Excellence: Continuously measure quality against "gold data" baselines, tracking precision, recall, and $F_1$ scores to justify launch readiness.Edge-Case Engineering: Manually draft and refine complex prompts to overcome anti-patterns and architecture gaps that automated tools can't solve.Project DetailsJob Title: Senior Prompt Engineer (LLM Migration)Schedule: Part-Time (Set your own hours within project milestones)Location: 100% Remote (Must be based in the United States)Employment Type: Freelance / Independent ContractorCandidate ProfileEducational Foundation: Bachelor's, Master's, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.Prompt Engineering Mastery: 4+ years of experience tuning LLMs for strict, structured outputs, complex classification, and few-shot learning.Analytical Power: High proficiency in identifying error patterns and using SQL or data analytics tools to monitor performance.Technical Agility: Fast learner capable of mastering proprietary internal tools and "Goose API" style interfaces with minimal oversight.Preferred Technical SkillsFamiliarity with shadowbot monitoring and disagreement tracking.Experience in AI model evaluation and software engineering.Deep understanding of semantics, logic, and Chain-of-Thought (CoT) prompting.Proven ability to draft high-level Launch Certification Documentation.Recruitment & OnboardingTechnical Review: Submit your CV and portfolio of LLM optimization work.Prompt Assessment: Demonstrate your ability to navigate complex template clusters and APO deadlocks.Tooling Deep-Dive: Get access to our internal technical suite and migration workflows.Launch: Begin your part-time engagement and lead the shift to LLM-driven autorating.
