Position Overview
As a Gen AI Data Annotation Analyst, you will play a critical role in developing high-quality datasets that power the next generation of Large Language Models (LLMs). You will evaluate, generate, and refine multimodal data (text, image, or video) to ensure AI outputs are accurate, safe, and culturally resonant for the Japanese locale.
End date: May 30th (tentative)
Key Responsibilities
* Multi‑Modal Annotation: Label and categorize high‑quality training data across text, image, and video formats with surgical precision.
* Content Generation: Draft grammatically flawless, creative, and factually accurate text in both Japanese and English, adapting tone and style for specific project needs.
* Edge‑Case Resolution: Apply logical reasoning to resolve ambiguous data scenarios where guidelines may not explicitly cover a specific nuance.
* Continuous Feedback: Identify and report bugs within internal annotation tools and suggest workflow optimizations.
* Cross‑Functional Sync: Collaborate with Language Leads and Project Managers to calibrate on quality benchmarks and project pivots.
System Requirements
* Full set of desktop/Laptop with Windows 11 Pro. Bring a compliant device. Windows 11 Pro (Home editions not allowed) or macOS 12+, 8 GB RAM, 50 GB free disk. Tablets/Chromebooks/phones won’t be accepted.
* Network: Stable Internet connection which should have a speed of up to 40 MB/s minimum.
Technical Skills & Competencies
* Linguistic Agility: Ability to switch between creative, technical, and professional writing styles effortlessly.
* Analytical Rigor: A \"detective mindset\" for spotting subtle inaccuracies or biases in AI‑generated content.
* Domain Breadth: Comfortable handling content ranging from social media trends to high‑school‑level science and technical documentation.
* Tool Proficiency: Quick to master complex web‑based annotation platforms.
Minimum Requirements
* Education: Bachelor’s degree or equivalent (Linguistics, Communications, or a related field preferred).
* Language Mastery: Japanese – native speakers of the relevant language and that market; English – bilingual proficiency (CEFR B2 minimum; C1 preferred).
Preferred Qualifications
* Direct experience in RLHF (Reinforcement Learning from Human Feedback) or LLM fine‑tuning.
* Experience moderating sensitive, nuanced, or complex datasets.
* Familiarity with the current Generative AI landscape (terminologies, principles, LLM limitations, etc.).
* Familiarity with the cultural and professional landscape of the relevant country, either as their country of origin or through extended residency.
What We Offer
* An innovative and supportive global working environment.
* Opportunities for continuous learning and professional growth.
* Competitive compensation and flexible working arrangements.
* Engagement in impactful projects at the forefront of AI technology.
Commitment
Minimum 35 hours per week CET business hours.
#J-18808-Ljbffr