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
Skills Required
- Bachelor's degree or equivalent experience in Business, Operations, Quality, or Data/Engineering
- 2+ years in quality/operations with hands-on QA and workforce/training coordination
- 1+ years leading people/pods (formal or informal)
- Multi-project planning and stakeholder management
- Clear client communications and governance cadence participation
- Strong spreadsheets (Excel/Google Sheets) and macros
- Experience with PM/task boards and basic BI tools
- ETL familiarity
- Capacity planning with vendors and confident escalation/negotiation
- Effective working in global, distributed teams
- Near-native English with strong writing and editorial skills
- Hands-on experience with generative AI tools (text/voice/video)
- Background in QA testing, rubric design, or AI safety/ethics evaluation
- Familiarity with data-annotation platforms and model-evaluation tools
- Ability to interpret code, datasets, and workflows conceptually (no coding required)
- Works independently and manages workflows effectively in a remote setup
- Multilingual ability beyond English
