Hire(d) better.
Hire(d) better.
Hire(d) better.
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt 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.
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.
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 4 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.
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.
Will AI replace this role?
Check AI displacement risk, transferable skills, and career alternatives for Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time)
The Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time) position at Weloglobal is based in United States. This is an on-site position.
The Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time) position at Weloglobal is a Contract role.
The Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time) position at Weloglobal requires 4+ yrs exp.
Key skills for the Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time) position at Weloglobal include: large language models, sql.
Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time)
Weloglobal · On-site