Project Lion – Senior Prompt Engineer – Japan (Remote, Part-Time)

Welo Global; United States; Remoto; USD 5.700 - 8.200; Tempo integral

Resumo da vaga

Jobicy seeks a Prompt Engineer to manage the end-to-end migration workflow for templates to LLM autoraters, using client internal tools to maximize model performance. Responsibilities include APG-based baseline prompts, APO supervision, manual prompt refinement for complex templates, and monitoring shadowbot runs to ensure quality and alignment with gold data.

The role requires native Japanese, fluent English, residence in Japan, and 4+ years in prompt engineering with strong data analytics and

Qualificações

• Native fluency in Japanese and fluent in English.
• Based in Japan.
• Bachelor’s, Master’s, or Doctorate in CS, DS, CL, HCI, or related analytical field.
• 4+ years experience as Prompt Engineer with LLM tuning.
• Strong data analysis using SQL or similar tools.
• Ability to learn proprietary tools with minimal supervision.
• Excellent verbal and written communication.
• Familiarity with Goose API is preferred.

Responsabilidades

• Utilize APG tools to create baseline prompts for complex template clusters.
• Run APO tool, review outputs, and flag deadlocks or plateaus.
• Manually draft, test, and refine prompts for complex templates and edge cases.
• Monitor shadowbot runs to ensure disagreements are registered and tracked.
• Run prompt versions against gold data to measure autorater quality (F1, precision, recall).
• Draft Launch Certification Documentation for final readiness.

Conhecimentos

Japanese fluency

English fluency

Communication

Data analysis

Technical agility

Prompt engineering

Formação

Bachelor's degree in CS/DS/CL/HCI

Master’s degree in related field

Doctorate degree in related field

Ferramentas

SQL

Goose API

Descrição da vaga

We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLMautoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.

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.
• Manuallydraft, 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.
• Run prompt versions against established gold data to continuously measureautoraterquality 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 Japanese and fluent in English.
• Location: Must be based in Japan.
• 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.

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.