---
title: 'AI Data Curation Intern, Vulcan at AIFT'
canonical: 'https://feeny.ai/job/ai-data-curation-intern-vulcan-aift-taipei-sybdtp091zvn'
type: 'job'
last_seen: '2026-09-14'
---

# AI Data Curation Intern, Vulcan at AIFT

- **Company:** AIFT
- **Location:** Taipei, Taiwan
- **Posted:** 2026-03-02
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/aift/jobs/5816148004

## Job description

實習目標

加入 Vulcan 團隊，與研究員及工程師並肩作戰！你將參與守護大型語言模型（LLM）安全的前線工作，深入探索 AI 漏洞檢測、數據隱私保護及模型防禦機制，累積最紮實的 AI 安全實務經驗。

核心職責

我們將複雜的技術開發轉化為具體的實習任務，讓你快速上手：

- 防護機制驗證數據生成 (DLP & Moderation)：
- 任務內容：設計用來測試「防禦牆」的輸入資料，模擬各類異常行為。
- 實作重點：撰寫測試案例，驗證藍隊的數據外洩防護（DLP）與內容審核（Moderation）機制是否能精準攔截個資外洩、暴力或歧視等不當言論。
- 數據標籤與分類 (Labeling)：
- 任務內容：擔任 AI 的「安全導師」，定義行為邊界。
- 實作重點：精準標註訓練與測試資料，識別「隱私洩漏」或「提示詞劫持（Prompt Injection）」等惡意指令，協助模型學習辨識風險。
- 測試結果分析與洞察：
- 任務內容：挖掘 AI 的潛在弱點，將數據轉化為情報。
- 實作重點：整理 Vulcan 平台的測試結果，分析模型在不同安全維度的表現，並協助團隊製作直觀的分析圖表與技術報告。

上班時間 09:00-18:00 (每月 3-5天，依工作量彈性安排)

Internship Goal

Join the Vulcan team and work alongside top-tier researchers and engineers to fortify the security of Large Language Models (LLMs). This role offers a unique, hands-on opportunity to dive deep into AI vulnerability detection, data privacy, and model defense strategies.

## Key Responsibilities

We have streamlined our core technical workflows into actionable tasks for you to hit the ground running:

- Defense Mechanism Validation (DLP & Moderation):
- What you’ll do: Generate test data designed to challenge and verify our "defense walls" by simulating various edge cases.
- Execution: Craft test cases to evaluate whether Blue Team defenses, such as Data Loss Prevention (DLP) and Content Moderation, can accurately intercept sensitive info leaks or harmful content, identifying gaps in the current security layer.
- Data Labeling & Classification:
- What you’ll do: Act as a "Safety Mentor" for the AI, teaching it to distinguish between safe and hazardous interactions.
- Execution: Annotate training and testing datasets by identifying "Privacy Leaks" or "Prompt Injection" attacks—malicious instructions designed to bypass AI safety guardrails.
- Testing Analysis & Reporting:
- What you’ll do: Uncover AI vulnerabilities and document key findings.
- Execution: Organize testing data from the Vulcan platform, identify weak spots across various security dimensions, and assist the team in transforming these insights into clear charts and professional reports.

Interview Process

- Phone interview (30mins)
- Interview (1hr) : 45 mins with Hiring Managers, 15 mins with HR

## About AIFT

## Company Overview
- **One-liner**: AIFT (Laboratory for AI-Powered Financial Technologies) is a Hong Kong-based research laboratory and innovation hub that develops AI and data science solutions to transform global financial services.
- **Entity Type**: Private (research lab with spin-off commercialization arm)
- **Headquarters**: Hong Kong Science Park, Shatin, Hong Kong
- **Founded**: Not publicly available
- **Founders**: Co-founded by City University of Hong Kong and Columbia University. Key leadership includes Prof. Houmin Yan (Director), Shi Lei (Deputy Head of Commercialization), and Antony Zhu (Head of Product & Development).

## Core Business
- **Primary industry**: Financial technology (FinTech), AI research & development, blockchain/tokenisation
- **Target customers**: B2B – banks, financial institutions, SMEs, and enterprise clients in the finance sector
- **Mission / purpose**: "Conducting pioneering research, attracting the brightest talents, realizing visionary concepts, and providing the best business solutions for future financial services." [hkaift.com](https://hkaift.com/careers/)

## Products & Services
- **AI-Driven Financial Service**: Research and solution development for AI-powered risk management, investment intelligence, and customer analytics.
- **AI-Enhanced Financial Technology**: Advanced analytics and machine learning models for credit scoring, fraud detection, and regulatory compliance.
- **Social Media Analytics for Financial Technology**: Platforms that mine social media and news data for market sentiment and investment signals.
- **FinSights (Supply Chain Finance)**: A solution showcased at InnoEX 2026 that leverages trusted logistics data to optimize trade finance. [hkaift.com](https://hkaift.com/)
- **Tokenised Deposit Platform**: A joint initiative with JETCO to enable commercial banks to issue and manage tokenised deposits. [hkaift.com](https://hkaift.com/)
- **Tolo Digitech (Spin-off)**: Partnered with fintech firm FUNDel to build a trade finance platform integrating Port Community System data. [hkaift.com](https://hkaift.com/)
- **Portfolio Management System for E-Commerce Loan Securitisation**: A system referenced in AIFT’s portfolio (see About page). [hkaift.com](https://hkaift.com/about-us/)

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Headcount of ~26 employees (as of 2025-2026), with a -17.4% yearly change reported on LinkedIn. [linkedin.com](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
- **Notable Investors / Partners**: JETCO (joint tokenisation platform), FUNDel (trade finance spin-off), Hong Kong Science and Technology Parks (HKSTP), City University of Hong Kong, Columbia University.
- **Growth Signals**: Spin-off company Tolo Digitech launched in 2026; participation in InnoEX 2026; active patent filings (e.g., entity association recommendation, cryptocurrency asset classification). However, headcount declined year-over-year, so growth trajectory appears mixed.

## Competitive Advantages
- **Academic pedigree**: Founded jointly by City University of Hong Kong and Columbia University, giving it deep research capabilities and access to top talent.
- **Ecosystem position**: Located in Hong Kong Science Park, a major R&D hub, and holds strong ties with local banks, regulators, and fintech players.
- **Full-stack FinTech approach**: Combines AI, blockchain, and data science to address both research and commercial deployment (spin-offs, partnerships).
- **Proven commercialization**: Multiple patents granted via Google Patents and live solutions (tokenised deposits, trade finance platform).

## Strategic Focus
- Commercializing research outcomes into market-ready FinTech products.
- Expanding tokenised deposit and digital asset infrastructure for banks.
- Scaling supply chain finance and trade finance solutions via data partnerships (e.g., Port Community System).
- Building a pipeline of spin-off companies to take innovations to market.
- Attracting talent for both research and product development roles (openings listed on [Greenhouse careers page](https://job-boards.greenhouse.io/aift) and internally).

## Why Work Here
- **Mission-driven**: Work at the intersection of AI and finance to solve real-world problems in banking, risk, and trade.
- **Young and growing**: Described as a "young company" with opportunities to get in "on the ground floor" and grow as projects gain momentum. [hkaift.com](https://hkaift.com/careers/)
- **International connections**: Collaborations with top universities and global financial institutions provide a broader perspective.
- **Practical skill development**: Talent training is part of the mission – developers and analysts can build expertise in FinTech ecosystems (Python, Spring Boot, Docker, blockchain, etc.). [hkaift.com](https://hkaift.com/careers/)
- **Vibrant community**: Active member of Hong Kong Science Park, Hong Kong’s largest R&D base, with access to a network of tech companies and events.
- **Work environment**: Office-based in Hong Kong Science Park (Shatin); roles include Software Engineer, Assistant Quantitative Analyst, Data Analyst, and Research Assistant. [hkaift.com](https://hkaift.com/careers/)
- **Culture**: Emphasizes open innovation, cross-boundary collaboration (universities, VCs, financial institutions), and a flat, research-driven atmosphere.

## Sources
1. [hkaift.com (Home Page)](https://hkaift.com/)
2. [hkaift.com (Careers Page)](https://hkaift.com/careers/)
3. [hkaift.com (About Us Page)](https://hkaift.com/about-us/)
4. [LinkedIn Company Profile](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
5. [HKSTP Directory Page](https://www.hkstp.org/en/directory/innohk/laboratory-for-ai-powered-financial-technologies-limited)
6. [Greenhouse Careers Page](https://job-boards.greenhouse.io/aift)

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