Project Lion - Senior Prompt Engineer - Japan (Remote, Part-Time)
This listing is for a Project Lion - Senior Prompt Engineer - Japan (Remote, Part-Time) role at Welo Global, as a remote role open to applicants in Japan. The listing describes it as a contract, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Project Lion - Senior Prompt Engineer - Japan (Remote, Part-Time) role at Welo Global, as a remote role open to applicants in Japan. The listing describes it as a contract, senior position.
From the advert, the main requirements are 4+ years of experience and Japanese and English language skills.
The advert names LLM as a skill for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Dev Global Jobs found this job on Jobicy on Nov 8, 2026.
- Employer
- Welo Global
- Location
- Remote (Japan)
- Job type
- Contract
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Experience asked
- 4+ years
- Languages asked
- Japanese and English
- Found
- Nov 8, 2026 on Jobicy
- Employer text
- 328 words, about 1 min to read
- Apply only on the official page (jobicy.com). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 4+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (LLM) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in Japanese and English plainly (for example B2 or C1).
- Read the employer’s full text below (about 1 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
About the role
Full text from the employer, as published on Jobicy, arranged into sections. Nothing added or removed.
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.
01Responsibilities
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Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
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Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
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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.
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Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
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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.
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Draft technical launch readiness justifications (Launch Certification Documentation) for final.
02Requirement
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Language Skills: Native fluency in Japanese and fluent in English.
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Location: Must be based in Japan.
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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.
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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.
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Data Analysis: Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
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Technical Agility: Ability to quickly learn and master proprietary tools with minimal supervision.
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Communication: Excellent verbal and written communication skills.
03Optional / Preferred Skills
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Familiarity with enterprise-grade LLM interfaces like the Goose API.
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Experience in AI model evaluation, data science, computational linguistics, or software engineering.
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Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
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Linguistic expertise, including an understanding of semantics and logic.
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