South Korea-Ara Zeta Project – AI Safety Evaluator – Korean (Korea)-Developer
Welo Global
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data’s proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Project Overview
Project Details
- 4 hours per day, Monday–Friday
- 2 hours per day, Monday–Friday + 10 weekend hours
Responsibilities
- Evaluate AI-generated responses using a structured safety rubric
- Complete two independent evaluations per item
- Provide concise, well-structured rationales in English
- Participate in calibration sessions
- Support arbitration when evaluation discrepancies occur
- Maintain quality and throughput targets during the evaluation window
Qualifications
- Fluency in the target language and English
- Deep cultural understanding of the target locale
- Strong written English skills for documentation and rationales
- Prior experience in safety evaluation, policy review, content moderation, or rubric-based assessment preferred
- Ability to apply detailed guidelines consistently
- Strong analytical skills and attention to nuance
- Reliable availability during the production window
- Priority may be given to contributors who previously worked on prompt-image or similar evaluation projects to reduce onboarding time and maintain continuity.
Why Join Welo Data?
✨ Limitless Flexibility
How to Apply?
About Welo Data
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