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Welo Global

AI Trainers Network - English (United Kingdom)

Posted 6 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United Kingdom
Entry level
Remote
Hiring Remotely in United Kingdom
Entry level
Join Welo Data’s United Kingdom contributor network for flexible, remote AI projects. Depending on skills and availability, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts; and assess cultural, linguistic, and industry-specific accuracy. Projects range from several days to weeks, with scope, timelines, and compensation provided before each assignment.
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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   


Are you detail-oriented and curious about tech?
 
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
 
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
 
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
 
What You'll Need
- Native or near-native fluency in English
- Based in: United Kingdom
- Comfortable with digital tools
- Detail-oriented and curious
 
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
 
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
 
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
 
📬 Questions?
If you have any questions about the process, feel free to contact us at [email protected] .

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