Join a flexible contributor network supporting AI training projects through Urdu-language annotation, search and chatbot evaluation, prompt creation, and cultural accuracy review. Projects may involve text, image, or audio labeling and vary from several days to weeks. Applicants must be Urdu-native or near-native, English proficient, comfortable with digital tools, detail-oriented, and based in India or Qatar.
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
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 Urdu
- Based in: India, Qatar
- English proficiency
- 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].
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.
Top Skills:
Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdEvaluation FrameworksLangsmithLlmsModel RoutingObservability ToolingPythonRuby On Rails
Enterprise Web • Hardware • Internet of Things • Software
Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.
Top Skills:
AITulip
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s medical channel excellence team and develops global omnichannel strategies for scientific engagement across therapeutic areas. Oversees audience journeys, digital and social channels, paid media, vendor relationships, budgets, regulatory alignment, and channel performance. Partners with Medical Affairs, R&D, Evidence Generation, legal, compliance, and global teams to disseminate scientific content to healthcare professionals. Provides strategic leadership, manages resources, develops channel infrastructure, and drives innovation in personalized medical communications.
Top Skills:
Digital PlatformsOmnichannel Engagement PlatformsScientific Content Dissemination ToolsSocial Media ChannelsThird-Party Digital Platforms
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
